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In this competitive era, biometric systems provide more reliable security than traditional methods like passwords etc. Biometric systems perform person's authentication based on his physical traits. A number of biometric systems has been developed in the last few years such as fingerprints, hand and palm geometry, retina etc. Due to stability, uniqueness and non-replicable nature of vascular pattern,...
Iris recognition is among the best biometric systems. Characterised by the iris's uniqueness, universality, distinctiveness, permanence and collectability, the iris recognition system achieves high performance and real time response. In this study, the authors propose an improved iris normalisation model applied after a precise iris segmentation process. The normalisation model defines a new reference...
Iris recognition has very high recognition accuracy in comparison with many other biometric features. Many algorithms have been proposed to improve the performance of iris recognition. This paper proposes an iris recognition algorithm in which a set of iris images of a given eye are fused to generate a final template using the most consistent feature data. Features consistency weight matrix is determined...
In this Paper we have presented a Fingerprint verification system based on hybrid approach which combines both the Feature extraction by applying a set of different wavelet families (functions) and minutiae information available in the fingerprint image by fusion rule method. The Core Point (CP) of the input Fingerprint is detected. Keeping the CP in the center,the image of size w x w is cropped and...
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