Palmprint recognition based gabor wavelet transform using K-NN classification
Yükleniyor...
Tarih
2016-04-01
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
European Journal of Technique (EJT)
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-ShareAlike 3.0 United States
Attribution-NonCommercial-ShareAlike 3.0 United States
Özet
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.
Açıklama
Anahtar Kelimeler
Biometric, Palmprint Recognition, Gabor Wavelet Transform, k-NN
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
6
Sayı
1
Künye
Çalışkan, A. (2016). Palmprint recognition based gabor wavelet transform using K-NN classification. European Journal of Technique (EJT), 6 (1), pp.1-8.
