Authors: Deepti Tamrakar Pritee Khanna
Publish Date: 2013/04/21
Volume: 9, Issue: 3, Pages: 535-542
Abstract
The proposed work aims to improve the performance of palmprint recognition system by reducing the size of templates Discrete Wavelet Transform assists in scaling down the size of extracted Region of Interest of palmprint approximately by a factor of 16 while preserving the potential information used to discriminate among different palms This work proposes XORSUM Code which is based on the fusion of the real and the imaginary Palm Code images for different orientations say N The fused images of all orientations are added together to get line features of palmprint The resulting image is then coded into leftlceil N+1/2 rightrceil bits to get line features of reduced size Experiments are carried out on Hong Kong PolyU palmprint database that contains 8000 palmprint images of 400 different palms XORSUM Code technique is compared with Palm Code Competitive Code and Contourlet Transformbased techniques in terms of Equal Error Rate EER Decidability Index DI and Genuine Acceptance Rate GAR The XORSUM Code technique results in EER DI and GAR of 183 44433 and 9817 respectively
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