"Authentication Based on Texture Analysis And SVM Classification" by Sanjay Kumar Mohanty and P.K. Pattnaik

Home > IJICA > Vol. 1 > Iss. 1 (2011)

International Journal of Instrumentation Control and Automation

Article Title

Authentication Based on Texture Analysis And SVM Classification

Authors

Sanjay Kumar Mohanty, Department of Computer Science & Engineering, Konark Institute of Science and Technology, Bhubaneswar, India.Follow
P.K. Pattnaik, Department of Computer Science and Engineering Konark Institute of Science and Technology Bhubaneswar, Orissa, IndiaFollow

Abstract

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.

Recommended Citation

Mohanty, Sanjay Kumar and Pattnaik, P.K. (2011) "Authentication Based on Texture Analysis And SVM Classification," International Journal of Instrumentation Control and Automation: Vol. 1 : Iss. 1 , Article 13.
Available at: https://www.interscience.in/ijica/vol1/iss1/13

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