Correspondence: Pattern RecognitionNo Access

Detecting Eyelash and Reflection for Accurate Iris Segmentation

Wai-Kin Kong

Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China

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and

David Zhang

Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China

Author for correspondence.

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https://doi.org/10.1142/S0218001403002733Cited by:57 (Source: Crossref)

Abstract

Accurate iris segmentation is presented in this paper, which is composed of two parts, reflection detection and eyelash detection. Eyelashes are classified into two categories, separable and multiple. An edge detector is applied to detect separable eyelashes, and intensity variances are used to recognize multiple eyelashes. Reflection is also divided into two types, strong and weak. A threshold and statistical model is proposed to recognize the strong and weak reflection, respectively. We have developed an iris recognition approach for testing the effectiveness of the proposed segmentation method. The results show that the proposed method can reduce recognition error for the iris recognition approach.

Keywords:

References

W. W. Boles and B. Boashash, IEEE Trans. Sign. Process. 46, 1185 (1998), DOI: 10.1109/78.668573. Crossref, Web of Science, Google Scholar
J. Colton, Iridology: Health Analysis and Treatments from the Iris of the Eye, Element, Queensland, 1996 . Google Scholar
J. Daugman, IEEE Trans. Patt. Anal. Mach. Intell. 15, 1148 (1993), DOI: 10.1109/34.244676. Crossref, Web of Science, Google Scholar
R. C. Gonzales and R. E. Woods , Digital Image Processing ( Addison-Wesley , 1993 ) . Google Scholar
A. K. Jain , Fundamentals of Digital Image Processing ( Prentice Hall , 1989 ) . Google Scholar
S. Mallat , A Wavelet Tour of Signal Processing ( Academic Press , 1998 ) . Google Scholar
G. String and T. Nguyen , Wavelets and Filter Banks ( Wellesley-Cambridge Press , 1997 ) . Google Scholar
R. Wildes, Proc. IEEE 85, 1349 (1997), DOI: 10.1109/5.628669. Google Scholar
Y. Zhu, T. Tan and Y. Wang, Biometric personal identification based on iris pattern, Proc. 15th Int. Conf. Pattern Recognition2 (2000) pp. 801–804. Google Scholar