Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A study on Iris Recognition using Wavelet Transformation and Nonlinear Function

  • Hur Jung-Youn (Division of Computer Science and Engineering, Kyungnam University) ;
  • Truong Le Xuan (Computer Science Department, Hochininh City Open University) ;
  • Lee Sang-Kyu (Division of Computer Science and Engineering, Kyungnam University)
  • Published : 2005.06.01
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Abstract

Iris recognition system is the one of the most reliable biometries recognition system. An algorithm is proposed to determine the localized iris from the iris image received from iris input camera in client. For the first step, the algorithm determines the center of pupil. For the second step, the algorithm determines the outer boundary of the iris and the pupillary boundary. The localized iris area is transformed into polar coordinates. After performing three times Wavelet transformation, normalization was done using a sigmoid function. The converting binary process performs normalized value of pixel from 0 to 255 to be binary value, and then the converting binary process is compared pairs of two adjacent pixels. The binary code of the iris is transmitted to the server by the network. In the server, the comparing process compares the binary value of presented iris to the reference value in the database. The process of recognition or rejection is dependent on the value of Hamming Distance. After matching the binary value of presented iris with the database stored in the server, the result is transmitted to the client.

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References

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Cited by

  1. Multimodal Biometric Recognition System using Real Fuzzy Vault vol.23, pp.4, 2013, https://doi.org/10.5391/JKIIS.2013.23.4.310