There exist a number of biometrics methods today e.g. Signatures, Fingerprints, Iris. There is considerable interest in authentication based on handwritten signature verification system as it is the cheapest way to authenticate the person. Fingerprints...
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New Educational & Science Software for Windows Server 2008
A simple and fast algorithm for ear recognition based on Principal Component Analysis that is capable to recognize ears with a low error rate. Moreover code is capable to perform 1:1 verification using an approach based on Coherent Point Drift (CPD) with...
The interest in gait as a biometric is strongly motivated by the need for an automated recognition system for visual surveillance and monitoring applications. Recently, the use of gait for people identification in surveillance applications has attracted...
Sparse representation, also known as compressed sensing, has been applied recently to image-based face recognition and demonstrated encouraging results. Under this framework, each face is represented by a set of features, which sufficiently characterize...
Human face contains a variety of information for adaptive social interactions amongst people. In fact, individuals are able to process a face in a variety of ways to categorize it by its identity, along with a number of other demographic characteristics,...
Organisations are challenged to keep applications and networks secure in the limits of cost-security balance maintenance. Relying on only userID and userPassword to authenticate users is neither practical nor efficient. Traditional security measures like...
Human target recognition has been an active research area in the last years, with a major emphasis on automatic detection and matching of faces in still images and videos, for the purposes of verification and identification. Performance of 2D face...
Biometrics are used for personal recognition based on some physiologic or behavioral characteristics. In this era, biometric security systems are widely used which mostly include fingerprint recognition, face recognition, iris and speech recognition etc....
We have developed a neural network based approach for automated fingerprint recognition. Fingerprint image is classified via a multilayer perceptron (MLP) classifier with one hidden layer. The backpropagation learning technique is used for its training....
Malignant melanoma is nowadays one of the leading cancers among many white-skinned populations around the world. Change of recreational behavior together with the increase in ultraviolet radiation cause a dramatic increase in the number of melanomas...
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