Palmprint recognition using Gabor wavelet transform

Author

Caliskan, A. ; Ergen, B.

Author_Institution

Bilgisayar Muhendisligi Bolumu, BATMAN Univ., Batman, Turkey

fYear

2013

fDate

24-26 April 2013

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SIU.2013.6531378

Filename

6531378