IJSRP, Volume 3, Issue 4, April 2013 Edition [ISSN 2250-3153]
Subhajit Karar, Ranjan Parekh
This paper proposes an automated system for recognizing palmprints for biometric identification of individuals. Palmprint images are converted to the frequency domain using 2D DFT and thereafter bandpass filtered using a log-Gabor filter to extract the phase symmetry information. Classification is done on basis of correlation between training and testing set images. The approach is tested over a data set of 200 images divided into 10 classes and seen to provide 100% recognition accuracy. A contemporary technique is also implemented on the current dataset for comparison of accuracy results.