Introducing a Biometric Identification using Contourlet and Wavelet
عنوان مقاله: Introducing a Biometric Identification using Contourlet and Wavelet
شناسه ملی مقاله: IPRIA01_132
منتشر شده در اولین کنفرانس بازشناسی الگو و پردازش تصویر ایران در سال 1391
شناسه ملی مقاله: IPRIA01_132
منتشر شده در اولین کنفرانس بازشناسی الگو و پردازش تصویر ایران در سال 1391
مشخصات نویسندگان مقاله:
Mohammad Reza Khezri - Payame Noor University (PNU)Tehran, Iran
Seyed Mosarreza Mosavisadr - Technical and Vocational University (TVU)Tehran, Iran
خلاصه مقاله:
Mohammad Reza Khezri - Payame Noor University (PNU)Tehran, Iran
Seyed Mosarreza Mosavisadr - Technical and Vocational University (TVU)Tehran, Iran
This paper proposed a new biometric system based on the texture of hand knuckles. The texture pattern produced by finger knuckle bending is highly unique andmakes the surface a distinctive biometric identifier. In this approach, we used Contourlet and wavelet transforms to extract features from finger knuckle surfaces. Then we usedAGV to select the best features. Finally we examined three famous classifier to select the one with the best results. Theexperimental results confirmed the 97.66% recognition rate for the proposed system
کلمات کلیدی: biometrics; FKP; contourlet; wavelet; AGV
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/276023/