ENGINEERING RESEARCH PAPERS

face recognition IEEE PAPER 2016




One-to-many face recognition with bilinear CNNs
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Abstract The recent explosive growth in convolutional neural network (CNN) research has produced a variety of new architectures for deep learning. One intriguing new architecture is the bilinear CNN (B-CNN), which has shown dramatic performance gains on certain fine-

Two-Level Multiple Face Detection Algorithm Based on Local Feature Search and Structure Recognition Methods.
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Abstract Face detection is the first and important problem for face recognition. Face detection can be used both as an independent task for some practical applications, such as face registration, and preliminary part of face recognition, face expression analysis etc. Most

Distributed Compressive Sensing based Near Infrared and Visible Images Fusion for Face Recognition
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Abstract In this paper, we propose a novel face recognition method based on fusing the near infrared and visible images of face images with distributed compressive sensing. The near infrared image and visible image of one same subject constitute an ensemble. Both

Effective Automatic Attendance Marking System Using Face Recognition with RFID
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ABSTRACT In this RFID system, the student shows RFID tag which initiates the camera and a face is captured and recognized so that attendance is marked. During the class hours Ultrasonic sensor is activated. If a student leaves in between the class hours or comes late

Improved Methods on PCA Based Human Face Recognition for Distorted Images
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Abstract:This paper examines various illumination invariant techniques and identifies the one which works well with principle component analysis for human face recognition. Experimental results show that by applying the technique called Gradientfaces at the pre-

A design of HTM spatial pooler for face recognition using Memristor-CMOS hybrid circuits
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Abstract:Hierarchical Temporal Memory (HTM) is a machine learning algorithm that is inspired from the working principles of the neocortex, capable of learning, inference, and prediction for bit-encoded inputs. Spatial pooler is an integral part of HTM that is capable

Two-Factor Authentication Methodology using Hybrid Face Recognition
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Abstract With the rapid development of mobile devices and IT technologies, protecting personal information is becoming an important issue, and safety must be seriously considered. However, while smartphones in use today continue to have security Within the last two decades, we have noticed improvement in the performance of face recognition (FR) systems in controlled conditions, characterized by suitable lighting and favorable acquisition distances. However, over the years, the technology has steadily

Performance Analysis of Pixel based Face Recognition Methods
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Abstract From the recent diversity of face recognition applications, it can be concluded that studies on face recognition are being actively conducted. However, high-performance algorithms sometimes cannot be adopted because of environmental reasons such as

Face Recognition Using Neural Network: A Review
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Abstract Face recognition from the real data, capture images, sensor images and database images is challenging problem due to the wide variation of face appearances, illumination effect and the complexity of the image background. Face recognition is one of the most Abstract The feature extraction algorithm plays an important role in face recognition. However, the extracted features also have overlapping discriminant information. A property of the statistical uncorrelated criterion is that it eliminates the redundancy among the

Face Recognition and Detection Using Hausdorff Distance, SURF and SVM
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Abstract: In the pattern recognition and computer vision field, an intriguing and a challenging problem that is widely studied is biometric based recognition by face. Biometric refers to authentication techniques that rely on measurable physical and behavioural

Automatic Face Recognition via Local Directional Patterns
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Abstract Automatic facial recognition has many potential applications in different areas of human computer interaction. However, they are not yet fully realized due to the lack of an effective facial feature descriptor. In this paper, we present a new appearance based

Efficient Head Pose Determination and Its Application to Face Recognition on Multi-Pose Face DB
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Abstract Face recognition is a well-known approach for identity recognition. Variation in head pose is a main factor that interferes with face recognition systems. This paper proposes an efficient head pose determination method and its application to face recognition on a

Modified Image Based Approach and Neural Networks For Face Recognition
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Abstract Recognition of people is a big challenging problem. Face recognition is one of them and up to date. Face recognition is a task that humans perform routinely in our daily lives. The large availability of powerful and low-cost and embedded computing systems is

An Efficient Attendance Management Sytem based on Face Recognition using Matlab and Raspberry Pi 2
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Abstract:A facial recognition system is an application of computer vision which is capable of performing two basic tasks of identification and verification of person. With the advent of image processing techniques automatic face recognition is a popular research topic.

Environment Independent Hybrid Face Recognition System Using a Fixed Camera and a PTZ Camera
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Abstract. With the growth of the high resolution CCTV camera market, face recognition from farther distances is required in addition to short distances. Thanks to advanced face recognition technology, faces can be recognized without any concern for the condition of

An FPGA based Face Recognition System using Gabor and Local Binary Pattern
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Abstract:Face of a human being conveys a lot of information about identity and emotional state of the person. Nowadays, in many applications such as in the field of banking, surveillance, seminars halls and multimedia equipment are becoming more important, but

Automatic Age and Gender Recognition in Human Face Image Dataset using Convolutional Neural Network System
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Abstract: Age and gender classification has become applicable to an extending measure of applications, particularly resulting to the ascent of social platforms and social media. Regardless, execution of existing strategies on real-world images is still fundamentally

An Illumination Invariant Face Recognition by Selection of DCT Coefficients
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Abstract The face recognition is nowadays popular in social networks and smart phones. The face recognition is more difficult for poor illumination images. The objective of the work is to create an illumination invariant face recognition system using 2D Discrete Cosine

An Improvement in Face Recognition for Invariant Faces
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Abstract Face recognition has recently grown its importance, especially during the past several years as one of the most successful applications of image analysis. It has been a fast growing, interesting and challenging area in real time applications. In last decades a large

Improved RGB-DT based Face Recognition
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Reliable facial recognition systems are of crucial importance in various applications from entertainment to security. Thanks to the deep-learning concepts introduced in the field, a significant improvement in the performance of the unimodal facial recognition systems has

Offline Face Recognition System Based on Gabor-Fisher Descriptors and Hidden Markov Models
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Abstract:This paper presents a new offline face recognition system. The proposed system is built on one dimensional left-toright Hidden Markov Models (1D-HMMs). Facial image features are extracted using Gabor wavelets. The dimensionality of these features is

Websites Authentication Based on Face Recognition
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Abstract: Now a days, the number of websites is growing rapidly coupled with the hacking of the accounts which based on the traditional login method that depends on username and password. So, it is important to improve the security of these sites by developing a method

Face Recognition Based on the Combination Method of Multiple Classifier
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Abstract The study of human language comprehension machine has become a important research topic around the world. Face recognition has great potential application value in economic, security, social security, crime, military and other fields, especially in the

Robust face recognition providing the identity and its reliability degree combining sparse representation and multiple features
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For decades face recognition (FR) has attracted a lot of attention, and several systems have been successfully developed to solve this problem. However, the issue deserves further research effort so as to reduce the still existing gap between the computer and human

wPFP-PCA: Weighted Parallel Fixed Point PCA Face Recognition.
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Abstract: Principal Component Analysis (PCA) is one of the feature extraction techniques, commonly used in human facial recognition systems. PCA yields high accuracy rates when requiring lower dimensional vectors; however, the computation during covariance matrix

Anti-Spoofing Method: A Survey on Biometric Face Recognition
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ABSTRACT In recent decades, the evolution of biometric technology from the first revolutionary works in faces and voice recognition to the current state of development such as fingerprint, face, or iris, signature or hand. This path of technological growth has

Face Recognition System for Blur Image Using Backpropagation Neural Networks Approach and Zoning Features Extraction Method
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Abstract: Applications of face recognition systems have been fairly well-established. However, since Facial Image Recognition System basically depends on the source images as object recognition and methodology, good analysis results from abnormal images

A NOVEL METHOD OF AVERAGE FILTERING FOR REMOVING NOISE ANDFACE RECOGNITION
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ABSTRACT: Face recognition is new and difficult which requires great effort and determination due to the Wide variety of faces, complexity of noises and image backgrounds. In this paper, we propose an Average Filtering based novel method for face

Gabor-Zernike Features based Face Recognition Scheme
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ABSTRACT A Facial recognition (FR) system in still images is an important application in computer vision and image processing. Extraction of invariant features is the core of FR systems. In this paper, we propose a novel and efficient facial image representation based

Geometrical Modeling of Facial Regions and CUDA based Parallel FaceSegmentation for Emotion Recognition
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Abstract Human emotions are expressed through body gestures, voice variations and facial expressions. Research in the area of facial expression recognition has been active for last 20 years for improving the system performance. This work proposes a novel geometrical

Synergy of Schur, Hessenberg and QR Decompositions on Face Recognition
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Abstract:Human recognition through faces has elusive challenges over a period of time. In this paper, an efficient method using three matrix decompositions for face recognition is proposed. The proposed model uses Discrete Wavelet Transform (DWT) with Extended

Review of Face Recognition System Using MATLAB
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ABSTRACT Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this review, a face recognition system, based on the principal component analysis (PCA) and

HUMAN FACE AND EXPRESSION RECOGNITION WITH KERNEL FISHER ANALYSIS
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Abstract:Human Face recognition is a exigent task in computer vision and pattern detection Face recognition is thorny because it is a real world problem. The Human Face is multifarious, natural object that tends not to have easily acknowledged features and edges

RASPBERRY PI BASED FACE RECOGNITION SYSTEM FOR DOOR UNLOCKING
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ABSTRACT This paper deals with the design and implementation of Secure locking Automation using Raspberry Pi for Door unlocking to provide essential security to our homes, bank lockers and associated control operations and send security alert through

Children's Transportation Safety System Using Real Time Face Recognition
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Abstract: In this paper we presents a visual system for monitoring children entering and leaving the school bus. It enhances the safety of children during their daily transportation in school bus. The system contains two parts, entry monitoring and exit monitoring. The basic

Development Phases of Technologies in Face Recognition Systems
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Abstract Face recognition is for recognizing human faces from single images out of a large database. The task is difficult because of image variation in terms of position, size, expression, and pose and it is important because this uses in different areas such as

A Content-based attribute correlation framework for face recognitionapplications
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Abstract:The process of face recognition in an image oriented search space often becomes complex and inconsistent due to the existence if voluminous and heterogeneous data. The traditional face recognition tools work automatically based on some semantic cues. This

FACE RECOGNITION SYSTEM FOR ENHANCING PRIVACY OF PHOTO SHARING IN ONLINE SOCIAL NETWORK
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Abstract: Photo sharing is an attractive feature which popularizes Online Social Networks. Unfortunately, it may leak user's privacy if they are allowed to post, comment, and tag a photo freely. To prevent possible privacy leakage of a photo, we design a mechanism to

A Survey On Automated Systems for Face Recognition in Videos
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Abstract–Videos have enabled to take face recognition to the next step, providing various audio, visual cues and 3D models. Images captured in each frame provide plentiful data consisting of numerous features, using which variations in pose, illumination, and

Face Recognition using SURF Features and SVM Classifier
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Abstract Face recognition is a fascinating research topic in recent years. Numerous methods and algorithms have been suggested by researchers. The accuracy of face recognition technique is affected by factors like variation in illumination, facial expression, scaling and

Pose Invariant Thermal Face Recognition Using AMI Moments
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Abstract:Imaging in the visible spectrum demonstrates difficulties in recognizing the faces in conditions of varying illumination, especially under total darkness conditions. Further, the pose variations in such images add extra burden and heavy challenge on successful

Automated Attendance by Face Recognition and SMS Sending to the Authorized Person
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Abstract: Face recognition is an integral part of biometrics. In biometrics basic traits of human is matched to the existing data and depending on result of matching identification of a human being is traced. Facial features are extracted and implemented through algorithms

Benchmarking the LBPH Face Recognition Algorithm with OpenCV and Python
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Abstract In this paper, we present an benchmark of the Local Binary Patterns Histogram (LBPH) algorithm in combination with OpenCV and Python. We wanted to show that these techniques can be used for a real-time application. The main part of this work will describe

COMPARATIVE ANALYSIS OF FACE RECOGNITION TECHNIQUES
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ABSTRACT Face Recognition is one of the major techniques which can be used for security of personal information from stealing. Face Recognition is a top priority application for image analysis, commercial security and law enforcement. It also used in video conferencing,

Face Recognition System Using Local Ternary Pattern and Signed Number Multiplication
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ABSTRACT: This paper presents a novel approach to face recognition. The task of face recognition is to verify a claimed identity by comparing a claimed image of the individual with other images belonging to the same individual/other individual in a database. The

Face Recognition Using PCA and LDA Algorithm
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Abstract Security is an important concept in all areas. In computer science, biometrics is used for identification as well as for authentication to provide or control access. Lot of biometric recognitions are available among various biometrics, the face recognition is one

A Novel Determine the Identity of the Student in the Distance Examinations Depending on Face Recognition Techniques
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Abstract:the objective of this paper is to create an automatic system to determine the identity of the student in the distance examinations depending on face recognition techniques. This system used face print and hand print to determine the identity of the

A Review Paper on Face Detection and Recognition in Video
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Abstract: The intention of this paper is to review various face detection and recognition methods, sort them into different categories and distinguish innovative trends. In this connection the face detection and recognition in video streams is the foremost significant

Face Recognition and Retrieval Using Cross Age Reference Coding
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Abstract: This paper introduces an approach for face cognizance throughout age and in addition a dataset containing variations of age in the wild. We use a data-driven system to deal with the go-age face realization challenge, known as cross-age reference coding (

Face Recognition Using Hull Point Analysis with Qualcomm SDK Sanpdragon Processor
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Abstract–Relational over the last two decades, the advances in computer vision and pattern recognition power have opened the door to new opportunity of automatic facial expression recognition system. Face recognition is challenging due to wide variety of faces and

Face Recognition Utilising Motion Blur, Illumination and Pose
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Abstract: The existing face recognition techniques cannot deal with non-uniform blurring conditions which arise from tilts and rotations in cameras. Different factors such as exposure time, stability of the platform and user experience affects the degree of blurring. In this

Secure Internet Voting System using QR code and Face Recognition
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Abstract In earlier times people were using various systems for electing their representative. But those systems were inefficient and had many drawbacks such as process were very time consuming, location constrained was crucial problem, less secured, laborious work etc.

PROPOSAL OF A HYBRID SYSTEM FOR POSE INDEPENDENT FACE RECOGNITION
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Abstract:Face recognition is an important field in image processing. However, most of the face recognition methods found today can recognize a face only if the face has frontal view. To overcome this flaw, the techniques of face recognition can be combined with the

ANALYSIS OF FACE RECOGNITION USING MULTI-ALGORITHMIC CONCEPTS
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ABSTRACT Face recognition is use as a human validation mode for human authorization or authentication. Face recognition is a method of retrieving the faces of similar types from the face databases.target database to find a face that

Face Recognition and Hand Gesture Analysis System
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Abstract: An increasingly digital world, reliable personal authentication has become an important human Computer interface activity. National security, e-commerce and have access to a computer network. It is important to establish a person's identity, where some

AUDIO-VIDEO STEGANOGRAPHY USING FACE RECOGNITION TECHNIQUE FOR AUTHENTICATION
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Abstract-Steganography is a method of hiding any secret information like password, text, image and audio behind original cover file. In this paper we proposed the combination of image steganography and audio steganography with face recognition technology as a

RESEARCH AND DEVELOPMENT OF DSP-BASED FACE RECOGNITIONSYSTEM FOR ROBOTIC REHABILITATION NURSING BEDS
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ABSTRACT This article describes the development of DSP as the core of the face recognition system, on the basis of understanding the background, significance and current research situation at home and abroad of face recognition issue, having a in-depth study

A Literature Study on Face Recognition Techniques
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Abstract: Face recognition has remained a competitive and huge area of research in image processing system. This paper discusses major two approaches, first is featured based and second is statistical. Former comprises of Scale Space Filtering, Elastic Bunch Graph and

Heterogeneous Face Recognition using Inter-Session Variability Modelling
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Abstract The task of Heterogeneous Face Recognition consists in to match face images that were sensed in different modalities, such as sketches to photographs, thermal images to photographs or near infrared to photographs. In this preliminary work we introduce a novel

Partial Face Recognition using Multi key-point Descriptor with Neural Network
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Abstract:The technique of Partial Face Recognition is to verify whether the given probe or input image has any similarity with the images present in a given database. Improvements are being made to this technique and software updates are released on regular intervals.

Face Detection and Recognition Based on an Improved Adaboost Algorithm and Neural Network
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Abstract In recent years, face detection and face recognition based on images have been widely used in various fields. This paper focuses on face detection methods based on the Adaboost algorithm, optimizes and improves the weight updating rules of the Adaboost

Implementation of Face Recognition Methods as a First Step for Human Behaviour Analysis in Intelligent Room
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ABSTRACT This paper discuss an intelligent space concepts, goals and developments. The review presents an analysis of seven intelligent meeting rooms, equipment and developed services. One of the main goals of intelligent space is the development of proactive

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES RESEARCH TECHNOLOGY IMPLEMENTATION OF FACE RECOGNITION SYSTEM BASED ON
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ABSTRACT The face is regarded as the primary means of identifying the person of a written document based on the implicit assumption that a person's face changes slowly and is very difficult to erase, alter or forge without detection. As face is now a days the primary

Implementation of Heterogeneous Face Recognition using SIFT and MLBP Algorithm
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Abstract: Since few years Face Recognition has become quite popular because of its various applications in several domains. In automated face recognition a very difficult challenge is to compute the facial similarities between face images obtained in alternate

PERFORMANCE ENHANCEMENT OF FACE RECOGNITION SYSTEM USING PRINCIPAL COMPONENT ANALYSIS MERGED WITH DISCRETE WAVELET
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ABSTRACT Performance of face recognition system can be enhanced by proposed technique titled as PCA merged with Discrete Wavelet Transform (DWT) instead of using the conventional PCA technique. In this technique to reduce the computational complexity of

A Review Paper on Face Recognition Techniques
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Abstract: Face recognition presents a challenging problem in the process of image analysis and computer vision. Face recognition techniques can be broadly classified into three categories based on the face data acquisition methodology: methods that operates on

Face Recognition Based on Parallax Information Assisted Technology
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Abstract This paper presents the streetscape video method for repairing the disparity information assistant, first through the parallax image segmentation to detect the video frame of the repair area and the reference region, and is also based on the corresponding

Evaluation of Face Recognition APIs Libraries
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Abstract:After years of research, the commercial-ization of face recognition technology is apparent with the emergence of several face recognition libraries and APIs. Organizations and developers are faced with identifying critical success factors when selecting a face-

Design of Face Recognition System Using Viola-Jones and GLD Method
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Abstract:Face recognition systems are the need of time. We have applied de-noising technique and GLD method in conjunction with Viola-Jones, PCA-ANN and achieved recognition rate beyond expectation. Keywords PCA, Viola-Jones, GLD Method, Median

Face Recognition through Different Facial Expressions for Women Security: A Survey
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Abstract:Face is an essential part of our daily life. It is a complex multidimensional structure and needs a good computing technique for recognition. Face recognition has been a fast growing, challenging and interesting area in real time applications. A large number of face

Face Recognition System using Improved Artificial Bee Colony algorithm
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Abstract–In this paper, Face recognition system using improved artificial bee colony algorithm is proposed. This system works on two different phases, named as Extraction phase and Recognition phase. In the extraction phase, sub-window extraction algorithm is

Human face recognition under pose variation with fusion geometric methods
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Abstract In recent years, different methods have investigated in order to extract effective and important features in face recognition. Apparent features include the coordinates of face's comonents. Such as eyes, rings, tissues and different parts of the face and they are called

Augmentation of Face Recognition and Retrieval (AFRR) Under Various Illuminations Using Block Truncation Coding
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Abstract:A simple and efficient Block Truncation Coding (BTC) method to compress two dimensional color shape without loss of data as well as quality of the picture. BTC is one of the lossy image compression algorithms but in this research work has proposed on

Face Recognition Using LDA Based Generalized Half band Polynomial Wavelet Filter Bank
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Abstract:Face recognition plays an important role in biometric based person authentication systems. Various algorithms have been proposed in last three decades. This paper presents an efficient face recognition method based on combination of linear discriminant analysis (

A Review on Feature Extraction Techniques and General Approach for Face Recognition
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Abstract: In recent time, alongwith the advances and new inventions in science and technology, fraud people and identity thieves are also becoming smarter by finding new ways to fool the authorization and authentication process. So, there is a strong need of

Face Recognition using Maximum Variance and SVD of Order Statistics with only Three States of Hidden Markov Model
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ABSTRACT This paper presents a fast face recognition (FR) method using only three states of Hidden Markov Model (HMM), where the number of states is a major effective factor in computational complexity. Most of the researchers believe that each state represents one

3D Face Recognition under Expressions, Occlusions, and Pose Variations
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Abstract: We propose framework for analysing 3D faces, with the specific goals of comparing, matching, and averaging their shapes. Here we represent facial surfaces by radial curves emanating from the nose tips shape analysis. Here we detect facial

Face Recognition Using Eigen-Face Implemented On DSP Processor
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Abstract:This paper focus to develop an automatic face recognition using holistic features extracted that use the global features represented by low frequency data from face image. Holistic features are extracted using Eigen-face method where a linear projection

MULTI-MODEL ROBUST ERROR CORRECTION FOR FACE RECOGNITION
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ABSTRACT In this work we present a general framework for robust error estimation in face recognition. The proposed formulation allows the simultaneous use of various loss functions for modeling the residual in face images, which usually follows non-standard distributions,

A Review on Anti Theft Mechanism through Face Recognition
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Abstract:Face Recognition concept is one of the successful and important applications of image analysis. It'sa holistic approach towards the technology and have potential applications in various areas such as Biometrics, Information society, Smart cards, Access

Face Recognition using Principal Component Analysis and ANN
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Abstract: Human Face detection is the process of identifying the features of faces to detect the faces on the basis of the discriminant features. Features of faces are eyes, ears, eyebrows, nose, lips, hairs, chicks, forehead etc. Face detection can be carried out using

A STUDY OF FACE RECOGNITION TECHNIQUES
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ABSTRACT With data and information acquire in exuberance, there is a crucial need for high security. Face recognition has been a fast growing, challenging and interesting area in real time applications. Face biometrics are useful for a person's authentication. Face

A Shearlet Transform based Illumination Invariant 2-D Face Recognition
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Abstract:Amongst various bio-metric traits, face has been widely accepted by researchers and commercial firms. The facecan be recognized by 2-D and 3-D face recognition techniques. Face recognition has various challenges such as, occlusion, pose variations,

Face Recognition Revisited on Pose, Alignment, Color, Illumination and Expression-PyTen
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Abstract: Growing interest in intelligent human computer interactions has motivated a recent surge in research on problems such as pose estimation, illumination variation, color differences, alignment distinction and expression variation. Human faces are highly

FACE RECOGNITION USING PCA AND RBF NEURAL NETWORK
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Abstract:In this paper, the characteristic features called 'eigenfaces' are extracted from the stored images using which the system is trained for subsequent recognition of new images. We first use k-means clustering, to cluster the similar images of database. Second,

FACE DETECTION AND RECOGNITION USING SOM AND ANN
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ABSTRACT Over a decade, security has become the main concern of the people due to the increase of thefts. So, in order to keep our data securable we are going to implement the image similarity using Self Organizing Map (SOM) and Artificial Neural Networks (ANN).

Review of Face Recognition Technology Using Feature Fusion Vector
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Abstract:Facial recognition Technology has evolved into a successful technology. Recognition algorithm, have been reviewed in this paper. PCA, LDA, EBG Matching, Multi linear sub linear applying tensor representation and neural network based dynamic link

Improve Face Recognition Rate Using Different Image Pre-Processing Techniques
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ABSTRACT: Face recognition become one of the most important and fastest growing area during the last several years and become the most successful application of image analysis and broadly used in security system. It has been a challenging, interesting, and fast

EFFICIENT FACE RECOGNITION METHOD FOR PERSON AUTHENTICATION
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Abstract In this paper, we propose efficient methods for face recognition which provides better performance for given images which might be taken in presence of different lighting conditions and slight pose variations. Face detection is performed through segmentation

An Efficient Video Surveillance System Using Video Based Face Recognitionon Real World Data
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Abstract:Video surveillance systems were used in many domains in the last few decades such as crime prevention, human behavior understanding, activity analysis, traffic monitoring etc. Video based face recognition is the process of detecting and recognizing the faces

Face Recognition through Symbolic Modeling and Analysis of Segmented faceimages using Savitzky Golay filter features
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Abstract:Face biometrics has become an important technology for person identification and verification and large amount of work has been reported in this direction. But many issues still need to be addressed to build a robust face biometric system for person identification.

Face Recognition for Context-Sensitive IoT Applications
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Many IoT things are video cameras–Have IP addresses and are configurable–Cheap and integrated into mobile devices.–High data rates and bandwidth. Adding context to video- based IoT systems Recognizing people is crucial to human context. It modulates what

Recognition of Face using Spatio-Temporal Texture Descriptors
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Abstract Recognition of face has been an important topic in image processing for the past few decades. As a result, a huge progress is done in this area. This paper focuses on the face recognition for the blur images. To recognize the face the method used in this is the

Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization
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Abstract: A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame. One of the ways to do this is by comparing selected facial features from the image with a facial database. Non-uniform

Modified SIFT Descriptors for Face Recognition under Different Emotions
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Abstract: The main goal of this work is to develop a fully automatic face recognition algorithm. Scale Invariant Feature Transform (SIFT) has sparingly been used in face recognition. In this paper, a Modified SIFT (MSIFT) approach has been proposed to

Localization and selection of the face on an image in problems of humanrecognition
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Abstract This article describes the algorithm for localizing and selecting a human face on the image. It is based on the construction of a graph model of the image and additionaly on a set of actions carried out on the model. On the basis of this problem, the algorithm makes it

Fusing Aligned and Non-Aligned Face Information for Automatic AffectRecognition in the Wild: A Deep Learning Approach
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Abstract Face alignment can fail in real-world conditions, negatively impacting the performance of automatic facial expression recognition (FER) systems. In this study, we assume a realistic situation including non-alignable faces due to failures in facial