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PALMPRINT RECOGNITION BASED GABOR WAVELET TRANSFORM USING K-NN CLASSIFICATION

Year 2016, Volume: 6 Issue: 1, 1 - 8, 01.04.2016

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 k-NN classifier.

Year 2016, Volume: 6 Issue: 1, 1 - 8, 01.04.2016

Abstract

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Details

Other ID JA67AB67HM
Journal Section Research Article
Authors

Abidin Çalışkan

Publication Date April 1, 2016
Published in Issue Year 2016 Volume: 6 Issue: 1

Cite

APA Çalışkan, A. (2016). PALMPRINT RECOGNITION BASED GABOR WAVELET TRANSFORM USING K-NN CLASSIFICATION. European Journal of Technique (EJT), 6(1), 1-8.

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