FACE RECOGNITION IEEE PAPER 2018
Study of Eye Blinking to Improve Face Recognition for Screen Unlock on Mobile Devices
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ABSTRACT In recently, eye blink recognition and face recognition are very popular and promising techniques. In some cases, people can use the photos and face masks to hack mobile security systems, so we propose an eye blinking detection, which finds eyes through
Generic Training Set based Multimanifold Discriminant Learning for Single Sample Face Recognition .
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ABSTRACT Face recognition (FR) with a single sample per person (SSPP) is common in real- world face recognition applications. In this scenario, it is hard to predict intra-class variations of query samples by gallery samples due to the lack of sufficient training samples. Inspired
Deep Neural Network for Human Face Recognition
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ABSTRACT Face recognition (FR), the process of identifying people through facial images, has numerous practical applications in the area of biometrics, information security, access control, law enforcement, smart cards and surveillance system. Convolutional Neural
Techniques and Implementation of Face Spoof Recognition : Perspectives and Prospects
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ABSTRACT : Automatic face recognition is now widely used in applications ranging from de duplication of identity to authentication of mobile payment. This popularity of face recognition has raised concerns about face spoof attacks (also known as biometric sensor presentation
Evaluation of Feature Extraction Techniques using Neural Network as a Classifier: A Comparative Review for face Recognition
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ABSTRACT Face recognition has a wide range of possible applications from person identification and surveillance to electronic marketing and advertising for selected customers. In facial recognition there are different steps such as preprocessing, feature
Forensic face recognition as a means to determine strength of evidence: A survey.
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ABSTRACT : This paper surveys the literature on forensic face recognition (FFR), with a particular focus on the strength of evidence as used in a court of law. FFR is the use of biometric face recognition for several applications in forensic science. It includes scenarios
RANDOM KEYPAD AND FACE RECOGNITION AUTHENTICATION MECHANISM
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ABSTRACT -Authenticating user is the important aspect in ATM security. Password is most important thing to provide security in any system password having two way first is text way and second is graphical way. We proposing both security feature text base word and
Mobile-Cloudlet face recognition : Two different approaches
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ABSTRACT : The resource scarcity of mobile devices, pulls them back from executing the computation intensive computer vision applications like face recognition augmented reality, video processing etc. As a solution cyber foraging, where mobile devices offload either
A review of Face Recognition Based Car Ignition and Security System
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ABSTRACT -A vehicle key is the only way to start the car or to provide ignition to the engine. The face recognition based car ignition system literally replaces the car ignition by replacing the key with specific user face . While dealing with the topic the objective arises is the
Face Recognition using Histogram of Oriented Gradients
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ABSTRACT : Various methods or experiments can be used for face recognition and detection however two of the main include an experiment that evaluates the impact of facial landmark localization in the face recognition performance and the second experiment evaluates the
Non-linear dictionary representation of deep features for face recognition from a single sample per person
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ABSTRACT Unconstrained face recognition remain a challenging problem due to intra-class variations caused by occlusion, disguise, varying orientations, facial expressions, age variations and illumination in real circumstances etc. the recognition rate of traditional face
A Novel Face Recognition Approach Based on Genetic Algorithm Optimization
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ABSTRACT : In the field of image processing and recognition discrete cosine transform (DCT) and principal component analysis (PCA) are two widely used techniques. In this paper we present a face recognition approach based on them. Feature selection (FS) is a global
Face Recognition using Approximate Arithmetic
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ABSTRACT Face recognition is image processing technique which aims to identify human faces and found its use in various different fields for example in security. Throughout the years this field evolved and there are many approaches and many different algorithms which aim to
Gender Recognition from Face Image Based on Textural Analysis and Machine Learning Approach
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ABSTRACT In different biometric applications, sexual orientation acknowledgment from facial pictures assumes an imperative part. In this paper, we research Webers Local Descriptor (WLD) for sexual orientation acknowledgment. WLD is a surface descriptor that
Face Recognition Based On Local Binary Pattern
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ABSTRACT Facial analysis has been an important research field due its wide range of applications like: law enforcement, surveillance, entertainment like video games and virtual reality, information security, banking, human computer interface, etc. The original interest in
A STUDY OF FACTORS AFFECTING FACE RECOGNITION
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ABSTRACT Face recognition has been one of the most interesting and important topic in research fields as it deals with security and privacy. The human face plays a critical role in our social association, passing on individuals identity. The reasons come from the interest in
Face recognition and verification with deep neural networks
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ABSTRACT . My research was focused on applying and evaluation facial feature extraction techniques and learning methods. The main objective was the analysis of face detection and face embedding techniques. So I identified some of the most used feature extraction
An Analytic Approach 3D Shape Descriptor for Face Recognition
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ABSTRACT : Shape matching and object recognition is one of the challenging tasks in computer vision. Now a days many techniques are available for recognizing object efficiently. Still a lot of research going on for enhancing the recognition techniques for 3D images and 3D face
Face Recognition with Partial Face Recognition and Convolutional Neural Network
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ABSTRACT -Biometrics is a system in which we used to recognize human on the basis of its physical or behavioral characteristics. Face recognition has been a dynamic research area in the pattern recognition and computer vision domains. Each face in this world has
Cross-Pose LFW: A Database for Studying Cross-Pose Face Recognition in Unconstrained Environments
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ABSTRACT Labeled Faces in the Wild (LFW) database has been widely utilized as the benchmark of unconstrained face verification. Recently, due to big data driven machine learning methods, the performance on the database approaches nearly 100%. However, we
TAKING ROLL: A PIPELINE FOR FACE RECOGNITION
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ABSTRACT We propose a generic pipeline for a face recognition system capable of creating or cleaning datasets when videos or images come from a finite set of identities. Face recognition has wide practical applicability for organizations and can be solved using an
FTP Security using face recognitionDynamic password
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ABSTRACT File Transfer Protocol (FTP) is widely used protocol for transferring files over a network. However, there exists some secure vulnerability in the protocol. For example, both passwords and files are transmitted in plaintext. Although some new FTPs such as FTPS
Face Recognition using Locality Preserving Projection on Wavelet Subband and Artificial Neural Network
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ABSTRACT : In past recent years, Locality preserving Projection (LPP) has proved to be an alternative to Principal Component Analysis in Face Recognition . Despite the fact that LPP is better than PCA, it has some limits. In order to overcome that limits, many new methods still
Analysis Design Learning Agents ITVL with UCD and Face Recognition
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ABSTRACT Usage of technology device is already in our everyday life, and with a corresponding software it helps everyones daily life. Research in this paper is focused on the application of learning agent into one of a technology device, which is ITVL to learn
PCA BASED EFFICIENT FACE RECOGNITION TECHNIQUE
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ABSTRACT : Face recognition has many important applications eg recognition of faces at security checkpoints and airports. Human beings have capability of recognizing a person or a face but machine is not able to perform the same. The main aim is to engineer a system
Boosting Face in Video Recognition via CNN based Key Frame Extraction
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ABSTRACT Face in video recognition (FiVR) technology is widely applied in various fields such as video analytics and realtime video surveillance. However, FiVR technology also faces the challenges of high-volume video data, real-time processing requirement, as well as
Hu Li Moments for Low Resolution Thermal Face Recognition
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ABSTRACT In this paper, we present a new technique for low resolution face recognition using Hu Li moment invariants. The new technique can handle the issue of low resolution images very efficiently by the virtue of thermal face characteristics. The new technique will
Crime Identification using 3-D Face Recognition
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ABSTRACT Face acknowledgment is a standout amongst the most difficult subjects in PC vision today. It has applications running from security and observation to amusement sites. Face acknowledgment programming are valuable in banks, airplane terminals, and different
A REVIEW ON FACE RECOGNITION TECHNIQUES
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ABSTRACT In real-time applications, security is most important part. For security purpose, face recognition methods are widely used. In last few decades, a various numbers of face recognition techniques has been developed. Face recognition is related to the field of the
A Review of Person Recognition Based on Face Model
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ABSTRACT Face recognition has become an attractive field in computer based application development in the last few decades. That is because of the wide range of areas they used in. And because of the wide variations of faces, face recognition from the database images
Patch based Collaborative Representation with Gabor Feature and Measurement Matrix for Face Recognition
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ABSTRACT In recent years, sparse representation based classification (SRC) has emerged as a popular technique in face recognition . Traditional SRC focuses on the role of the l1 norm but ignores the impact of collaborative representation (CR), which employs all the training
PROPOSED IMAGE PRE-PROCESSING TECHNIQUES FOR FACE RECOGNITION USING OPENCV
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ABSTRACT : Face recogni on is limited mostly by light and pose factors. Often, input image needed to correct to achieve efficient face recogni on. This research discusses the enhanced pre-processing techniques such as illumina on, pose and illumina on+ pose CSE PROJECTS