Iris Recognition Method Based On Natural Open Eyes

Authors

  • Latha B. M GM Institute of Technology
  • Kumar L. GM Institute of Technology

Keywords:

Iris, recognition, Natural-open, Adaptive

Abstract

The non-intrusive property of iris recognition leads to several problems to the images of natural-open eyes and it is hard to increase the accuracy of iris recognition because of these problems. In order to ensure the non-intrusive property as well as achieve an iris recognition which has high accuracy simultaneously, this paper presents a novel iris recognition method based on the natural-open eyes. Firstly, makes pre-process to iris image, ensures the effective iris area adaptively. Secondly, finds all iris feature points by directional information, length information, width information of texture, the neighbouring gray information and relativity in the effective iris area. Thirdly, makes codes to feature points and figures the iris pattern by iris codes. Finally, sorts the different iris patterns by auto accommodated pattern matching method and gives the recognition results. Many experiments show the recognition rates of this method can reach 99.687% that can meet the demand of iris recognition.

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Author Biographies

Latha B. M, GM Institute of Technology

Department of Electronics, GM Institute of Technology, Davangere-577006, Karnataka, INDIA.

Kumar L., GM Institute of Technology

Department of Electronics, GM Institute of Technology, Davangere-577006, Karnataka, INDIA.

References

Daugman, J. (1993). High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(1): 1148-1161.

Boles, W., Boashash, B. (1998). A human identification technique using images of the iris and wavelet transform. IEEE Transaction on Signal Processing 46(4): 1185-1188.

Wildes, R. (1997). Iris recognition: an emerging biometric technology. Proceedings of IEEE 85(9): 1348–1363.

Institute of Automation, Chinese Academy of Sciences. CASIA Iris Image Database (ver1.0) [DB]. http://www.sinobiometrics.com. 2004.

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Published

30.03.2012

How to Cite

B. M, L., & L., K. (2012). Iris Recognition Method Based On Natural Open Eyes. Journal of Science, Technology and Arts Research, 1(1), 47–52. Retrieved from https://journals.wgu.edu.et/index.php/star/article/view/17

Issue

Section

Original Research

Categories

Plaudit