Title :
Palmprint recognition using Gabor wavelet transform
Author :
Caliskan, A. ; Ergen, B.
Author_Institution :
Bilgisayar Muhendisligi Bolumu, BATMAN Univ., Batman, Turkey
Abstract :
Palmprint recognition system is regarded as the reliable and accurate biometric identification system available. Viewed in the palmprint recognition system of biometric approaches, compared to other models because it is a new handheld biometric feature recognition system has recently attracted the attention of researchers. In this study, palmprint recognition system based on Gabor wavelet transform has been developed. Firstly, image coordinate system is defined to facilitate image alignment for feature extraction. Then, region of interest is cropped from the palmprint images. With developed system feature extracted of region of interest and given of Multi layer perception classifier.
Keywords :
feature extraction; image classification; multilayer perceptrons; palmprint recognition; wavelet transforms; Gabor wavelet transform; biometric identification system; feature extraction; handheld biometric feature recognition system; image alignment; image coordinate system; multilayer perception classifier; palmprint images; palmprint recognition system; Conferences; Feature extraction; Neural networks; Pattern matching; Wavelet transforms; Biometric; Gabor wavelet transform; Multi layer perceptron; Palmprint recognition;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531378