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Day to day life is more unsecure as per the hacking is concerned. Our data is not secure because it can be stolen, hacked, destroy, manipulate, password may forget, guess, Card, token, etc. To overcome this problem biometrics is used as a strong authentication system. The person should be present at the time of the instance. Biometric security is challenging task in day to day life because it is difficult...
In this paper, the proposed implementation of a soft-biometric system for automatic age detection from facial images is described. In order to do this, the method followed was that of a classical biometric system. The first step is preprocessing, to enhance the feature extraction. The next step is the parameterization, where techniques like wavelet transformed, discrete cosine transformed or local...
In recent years, we can observe an increasing use of biometric technology in our daily lives. Face recognition has several advantages over other biometric modalities, since that it is natural, nonintrusive, and it is a task that humans perform routinely and effortlessly. Following a recent trend in this research field, this paper focuses on a part-based face recognition, exploring and evaluating specific...
In this paper we propose a biometric solution for individual identification based on electroencephalography with classification using local probability centers. In our study, the electroencephalography signals of a subject are recorded from only one active channel Cz with eyes closed and without any external stimulations. The original signals are preprocessed by Haar wavelet transformation; then a...
Biometric systems play an important role in the field of information security as they are extremely required for user authentication. Automatic signature recognition and verification is one of the biometric techniques, which is currently receiving renewed interest and is only one of several techniques used to verify the identities of individuals. Signatures provide a secure means for confirmation...
Instead of using matching scores between single enrolled and single test (or user) template, the matching scores related to all test templates or all enrolled ones can be considered to enhance the performance of biometric systems. The user-specific methods take into account the dependencies of matching scores assigned to different enrollees being matched to one test template. On the other hand, enrolled...
This paper presents a novel technique of obtaining the Region of Interest (ROI) which is square-shaped. After palm print segmentation, we perform texture feature extraction using Local Binary Pattern (LBP) based on the directional gradient response. With the feature vectors so obtained we perform matching using Support vector machines (SVM) and also using the Chi-square distance measurement. The experimental...
The present article focuses on the classification of fingerprints. Our aim goal is to unify the process of fingerprint compression, classification and identification. The well known methods suited to these tasks are based on WSQ (Wavelet Scalar Quantization) for compression, Gabor filters for classification and minutiae matching for identification. We propose to use Block Ridgelet Transform (BRT)...
In this paper a novel method of information fusion at classifier level is applied to face verification. Three complementary kinds of facial data have been considered: texture, range data and curvature images. Three different kernels have been defined from each representation and finally a combined kernel has been developed. The resulting kernel has been used to train a classifier based on Support...
The effect of changing the image resolution over a biometric system based on hand geometry is analyzed in this paper. Image resolution is progressively diminished from an initial 120 dpi resolution up to 24 dpi. The robustness of the examined system is analyzed with 2 databases and two identifiers. The first database acquires the images of the hand underneath whereas the second database acquires the...
The off line identification of the handwriting as of signature comes under the field of biometrics. The context of use is in particular in the banking and legal fields. Within this framework problems particularly of imitation and falsification are often met. This paper presents an approach of personal identification based on the fusion of two off line modalities: handwritten signature and handwriting...
A new gait method using the periodic sequence width images and kernel based Fisher discriminant analysis is proposed. The gait pattern is described by the periodic sequence width images. It exacts from the width temporal image generated by calculating the width vector sequences and representing the width value in grey level. The periodic sequence width images capture both the shape structure information...
This paper research the influence of the pegs number on a hand based biometric device used for verification. Concisely, it presents the results of a study which compare the performance of different biometric devices with no pegs, 2 pegs, 4 pegs and 5 pegs. We have evaluated the four configurations of the biometric device with a database of 150 users collected during 3 months in an access control scenario...
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