A Survey: Feature Extraction Methods for Iris Recognition

Abstract

The biometrics is the study of physical traits or behavioral characteristics of human include items such as finger prints, face, hand geometry, gait, keystrokes, voice and iris. Among the biometrics, iris has highly accurate and reliable characteristics. An iris has unique structure and it remains stable over a person life time. Iris recognition is one of the biometric identification and authentication that employs pattern recognition technology with the help of high resolution. A general approach of iris recognition system includes image acquisition, segmentation, feature Extraction, matching/classification. The performance of biometric system based on iris recognition depends on the selection of iris features. In this work performance of various feature extraction methods are analyzed for iris recognition.

Authors and Affiliations

Dolly Choudhary| Department of C.S.E. Faculty of Engineering Technology MITS, Laxmangarh, India, Shamik Tiwari| Asst. Prof.,Department of C.S.E. Faculty of Engineering Technology MITS, Laxmangarh, India, Ajay Kumar Singh| Asst. Prof., Department of C.S.E. Faculty of Engineering Technology MITS, Laxmangarh, India

Keywords

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  • EP ID EP8319
  • DOI -
  • Views 369
  • Downloads 24

How To Cite

Dolly Choudhary, Shamik Tiwari, Ajay Kumar Singh (2012). A Survey: Feature Extraction Methods for Iris Recognition. International Journal of Electronics Communication and Computer Technology, 2(6), 275-279. https://europub.co.uk/articles/-A-8319