Iris recognition Using Directional Filter Bank 


Vol. 27,  No. 12, pp. 1208-1216, Dec.  2002


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  Abstract

We propose a new iris recognition method using a directional filter bank (DFB). The proposed method obtains accurate directional information using a DFB, and extracts the features on multiple scales by adding a low pass filter before the DFB, and then generates an iris code used for subsequent matching. The resultant subband outputs through the DFB are thresholded using a zero value and one part of an iris code is then generated by sampling the thresholded subband outputs. As such, the low pass filtered image is fed into the DFB to construct an additional code at different scales. The overall iris code is completed by combining the codes obtained at three different scales. Recognition is performed by finding the class to which the iris image with the minimum distance in the database belongs. Experimental results showed that the proposed method could be used successfully for personal identification and verification

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  Cite this article

[IEEE Style]

C. Park, S. Oh, D. Kwak, j. Oh, J. Lee, K. Park, "Iris recognition Using Directional Filter Bank," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 12, pp. 1208-1216, 2002. DOI: .

[ACM Style]

Chul-hyun Park, Sang-keun Oh, Dong-min Kwak, jong-hwan Oh, Joon-jae Lee, and Kil-houm Park. 2002. Iris recognition Using Directional Filter Bank. The Journal of Korean Institute of Communications and Information Sciences, 27, 12, (2002), 1208-1216. DOI: .

[KICS Style]

Chul-hyun Park, Sang-keun Oh, Dong-min Kwak, jong-hwan Oh, Joon-jae Lee, Kil-houm Park, "Iris recognition Using Directional Filter Bank," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 12, pp. 1208-1216, 12. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880