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Traditionally biometric features like fingerprint and iris pattern are used for unique identification of a person. Recent evolution in biometric is use of ear for identification. A system is presented here for person identification using ear features and or thumbprint. In our system, minutiae points extracted from scanned thumb print of a person and digitally captured ear image is processed to extract...
In this paper, a preliminary analysis of thumbprint recognition in different bit levels is presented. A digital image consists of m x n pixels and each pixel is represented by gray level value. In an 8-bits gray level image, the gray level value range from 0 to 255 for each pixel. Each bit-plane will then be extracted as the input into the neural network to test its performance and accuracy. The performance...
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