Open AccessAuthentication Based on Texture Analysis And SVM Classification
Author(s) -
Sanjay Kumar Mohanty,
Prasant Kumar Pattnaik
Publication year - 2011
Publication title -
international journal of instrumentation, control and automation
Language(s) - English
Resource type - Journals
ISSN - 2231-1890
DOI - 10.47893/ijica.2011.1012
Subject(s) - artificial intelligence , pattern recognition (psychology) , hamming distance , gabor filter , feature vector , computer vision , support vector machine , computer science , hough transform , gabor wavelet , iris recognition , filter (signal processing) , mathematics , biometrics , wavelet , feature extraction , wavelet transform , image (mathematics) , discrete wavelet transform , algorithm
This paper presents for identification and here used a fusion mechanism that amalgamates both, a Canny Edge detection and a Circular Hough Transform to detect the iris boundaries in the eye’s digital image. We then applied the Gabor Wavelet filter instead of using 1D Log-Gabor filter in order to exact the deterministic patterns in a person’s iris in the form of a feature vector. By comparing the quantized vectors using the Hamming Distance operator, we determine finally and for classification used Support vector Machine.