Commenced in January 2007
Paper Count: 30855
Performance Evaluation of Iris Region Detection and Localization for Biometric Identification System
Abstract:The iris recognition technology is the most accurate, fast and less invasive one compared to other biometric techniques using for example fingerprints, face, retina, hand geometry, voice or signature patterns. The system developed in this study has the potential to play a key role in areas of high-risk security and can enable organizations with means allowing only to the authorized personnel a fast and secure way to gain access to such areas. The paper aim is to perform the iris region detection and iris inner and outer boundaries localization. The system was implemented on windows platform using Visual C# programming language. It is easy and efficient tool for image processing to get great performance accuracy. In particular, the system includes two main parts. The first is to preprocess the iris images by using Canny edge detection methods, segments the iris region from the rest of the image and determine the location of the iris boundaries by applying Hough transform. The proposed system tested on 756 iris images from 60 eyes of CASIA iris database images.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075583Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1808
 J. Daugman, "How Iris Recognition Works", University of Cambridge, 2001.
 A.K. Jain, A. Ross, and S. Prabhakar. "An Introduction to Biometric Recognition".
 (2007) The CASIA Iris Image Database website.
[Online]. Available: http://www.sinbiometric.com.
 R. Nicole, "Title of paper with only first word capitalized," J. Name Stand. Abbrev., in press.
 J.F Canny, "A Computational approach to edge detection", IEEE Trans Pattern Analysis and Machine Intelligence, 8 (6): 679-698, Nov 1986.
 J. Daugman, "High confidence visual recognition of persons by a test of statistical independence", IEEE Trans. Pattern Analy. Machine Intell., vol.15, (1148-1161), Nov 1993.
 W. Boles and B. Boashash, "A human identification technique using images of the iris and wavelet transform ", IEEE Trans. Signal Processing, vol.46, (1185-1188), Apr 1998.
 J. Daugman, "Biometric personal identification system based on iris analysis", U.S. Patent 5291560, 1994.
 R. Wildes and J.Asmuth, "Automated noninvasive iris recognition system and method", U.S Patent 5572596, 1996.
 J. Daugman, "Demodulation by complex-valued wavelets for stochasist pattern recognition", Int. J. Wavelets, Multi-Res and Info. Processing, vol (1), 1-17, 2003.
 R. Wields, J.Asmuth, G. Green, S. Hsu, R. Kolczynski and S. McBride, "A machine-vision system for iris recognition", Mach. Vis. Applic., vol (85), 1-8, 1996.