face verification




Face verification is an important tool for authentication of an individual and it can be of significant value in security and e-commerce applications. This paper deals with the application of correlation filters for face verification . The performance of a specific type of

On Matching Scores for LDA-based Face Verification .
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We address the problem of face verification using linear discriminant analysis and investigate the issue of matching score1. We establish the reason behind the success of the normalised correlation. The improved understanding about the role of metric then naturally

Automatic face verification from 3D and grey level clues
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We address in this paper automatic face verification from 3D (3-dimensional) facial surface and grey level analysis. 3D acquisition is performed by a structured light system, adapted to face capture and allowing grey level acquisition in alignment. The 3D facial shapes are

Face verification based on singular value decomposition and radial basis function neural network
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Face is an important biometric feature for personal identification. This paper describes a new face verification methods based on singular value decomposition and RBF neural networks. The proposed method utilizes the positive samples and negative samples learning ability of

A comparison of face verification algorithms using appearance models.
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Statistical models of shape and appearance have been successfully used in face modeling, tracking and synthesis. In this paper we describe experiments using appearance models for face verification . We compare a variety of different algorithms on a standard face database

Unconstrained still/video-based face verification with deep convolutional neural networks
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Over the last 5 years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements for object detection and recognition problems. This has been made possible due to the availability of large annotated datasets, a

Significance of image representation for face verification
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In this paper we discuss the significance of representation of images for face verification . We consider three different representations, namely, edge gradient, edge orientation and potential field derived from the edge gradient. These representations are examined in the

Live Face Verification with Multiple Instantialized Local Homographic Parameterization.
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State-of-the-art live face verification methods would be easily attacked by recorded facial expression sequence. This work directly addresses this issue via proposing a patch-wise motion parameterization based verification network infrastructure. This method directly

Face Verification from Depth using Privileged Information.
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In this paper, a deep Siamese architecture for depth-based face verification is presented. The proposed approach efficiently verifies if two face images belong to the same person while handling a great variety of head poses and occlusions. The architecture, namelyIn this study, we investigate the implementation of correlation filter for lower face verification with different expression of images for each speaker. The motivation to implementing lower face images instead of face images is because the mouth is subject to fundamental changes

Face Verification via ECOC.
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We develop a novel approach to face verification based on the Error Correcting Output Coding (ECOC) classifier design concept. In the training phase the client set is repeatedly divided into two ECOC specified sub-sets (superclasses) to train a set of binary classifiers

Face verification subject to varying (age, ethnicity, and gender) demographics using deep learning
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The goal of automatic face authentication is to accurately verify the identity of subjects from captured images or video in unconstrained environments. Several factors affect accuracy and be classified as external or internal. External factors are related to the environment

Transferring face verification nets to pain and expression regression
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Limited annotated data is available for the research of estimating facial expression intensities, which makes the training of deep networks for automated expression assessment very challenging. Fortunately, fine-tuning from a data-extensive pre-trained

Learning Salient Features for Real-Time Face Verification
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We propose a novel person veri cation system for real-time face identi cation. The main features of the system include accurate registration of face images using a robust form of correlation, a framework for global registration of a face database using a minimum

Face verification using MLP and SVM
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The performance of machine learning algorithms has steadily improved over the past few years, such as MLP or more recently SVM. In this paper, we compare two successful discriminant machine learning algorithms apply to the problem of face verification : MLP and

Face verification for real-time applications
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In this paper we describe a system that performs automatic real-time face veri cation for use in such human-machine interface applications as automated security systems. We demonstrate that simple correlation strategies on template-based models are su cient for

The classification of scores from multi-classifiers for face verification
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We have proposed a multiple classifier systems for face verification by the study of classification of scores of the four face authentication systems built by facial feature extraction phase is filtered using Gabor wavelets and Principal Component Analysis (PCA)

JPEG Compression Effects on a Smart Card Face Verification System.
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We discuss the effect of a compression scheme to be applied to image data in a smart card based face verification system. Accordingly, we propose a system architecture considering trade-off between performance versus the improvement of memory and bandwidth

Development of mobile face verification based on locally normalized Gabor wavelets
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In this paper, we present a mobile face verification framework for automated attendance monitoring as a solution for more efficient, portable and cost-effective attendance monitoring systems. We use Raspberry Pi as mobile embedded input module connecting the webcam

Evaluation of LDA based face verification with respect to available computational resources.
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In this study, we are interested in a face verification or authentication system based on Principal Component Analysis and Linear Discriminant Analysis (known as Fisherfaces). We evaluate the tradeoff between performance and computational requirements of making a The problem of fusing similarity measure-based classifiers is considered in the context of face verification . The performance of face verification systems using different similarity measures in two well-known appearance-based representation spaces, namely Principle

Evaluation of histograms local features and dimensionality reduction for 3D face verification
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The paper proposes a novel framework for 3D face verification using dimensionality reduction based on highly distinctive local features in the presence of illumination and expression variations. The histograms of efficient local descriptors are used to represent

Gabor filter-based face recognition technique
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The recognition process is completed by a threshold-based face verification method, also provided Key words: Face recognition; Face identification; Feature vector; 2D Gabor filter; Supervised classification; Face verification . 1. INTRODUCTION

Using artificial immunity network for face verification .
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Biometrical systems are of the most interesting research subject matters in the last years. Face biometrics is noteworthy one because of its simple accessibility, easy usage and the ability of better acceptance by persons. The process of facial recognition includes these

Dynamic local ternary pattern for face recognition and verification
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Face recognition and verification algorithms use a variety of features that describe a face . Many of them are affected by the change of illumination and intensity fluctuation due to noise. Inspired by the properties of human visual system, a dynamic local ternary pattern has

A new probabilistic local binary pattern for face verification
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This paper presents a new Probabilistic Local Binary Pattern (PLBP), an extension of existing Local Binary Pattern (LBP), for face verification . Unlike LBP employing the sign of the difference to express the result of comparing two pixels, PLBP employs probability to

Elastic graph matching versus linear subspace methods for frontal face verification
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In this paper, a comparative study between standard linear subspace techniques such as eigenfaces and fisherfaces and a novel morphological elastic graph matching for frontal face verification is presented. A set of experiments has been conducted in the M2VTS database

Face quality assessment for face verification in video
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Performance of biometric systems depends on quality of acquired biometric samples. Low sample quality is the main reason for matching errors in biometric systems and be the principal weakness of some implementations. Therefore, when a biometric system obtains aThe fast growing ownership and use of mobile personal programmable communication devices (eg PDAs) create new and exciting opportunities for convenient and secure commercial and service providing transactions. The latest generations of PDAs incorporate

A viewpoint invariant, sparsely registered, patch based, face verifier
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Un- fortunately, the converse tends to be true for the task of viewpoint-invariant face verification ; the more registration points one has the better the performance Keywords Face verification Patch-whole modeling Viewpoint invariance

Mace correlation filter algorithm for face verification in surveillance scenario
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Facial recognition is a vividly researched areaof computer vision, pattern recognition and more precisely biometrics and has become an important part of everyday lives due to increasing demand for security and law enforcement applications in real life surveillance Face verification is still a difficult problem in badly uncontrolled conditions. Motivated by the observation that failure of facial image pair-matching is always caused by inconsistent visual conditions of both total face and face parts, we propose to train multiple classifiers on total In this paper, we consider the face verification problem, which is to determine whether two face images belong to the same subject or not. Although many research efforts have been focused on this problem, it still remains a challenging problem due to large intra-personalModern smartphones not only have the memory capacity to store large amounts of sensitive data (eg contact details, personal photographs) but also provide access, via mobile internet, to even larger quantities of personal data stored offline (eg on internet banking, e-mail and social

A state-of-the-art Neural Network for robust face verification
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The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods often use the grayscale face image as input. In this paper, we propose to use an additional featureKey factors in the public acceptance of biometric systems are non-intrusiveness, ease of use, and trust. In this paper we propose a biometric identity verification system consisting of a non-intrusive virtual mirror interface, and a face verifier using fractal coding to store the

A comparison of face verification with facial landmarks and deep features
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Face verification is a key task in many application fields, such as security and surveillance. Several approaches and methodologies are currently used to try to determine if two faces belong to the same person. Among these, facial landmarks are very important in forensics

Region selection for robust face verification using UMACE filters
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In this paper, we investigate the verification performances of four subdivided face images with varying expressions. The objective of this study is to evaluate which part of the face image is more tolerant to facial expression and still retains its personal characteristics due to Image based face verification has attracted extension attention in the fields of pattern recognition and intelligent vision. With difference in age, cross-age face verification from facial images remains a challenging work because of a large number of facial variations