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Journal of Information Science and Engineering, Vol. 24 No. 2, pp. 539-551 (March 2008)

Palmprint Images Enhancement Using Steerable Filters based Fuzzy Unsharp Masking*

Yanxia Wang and Qiuqi Ruan
Institute of Information Science
Beijing Jiaotong University
Beijing 100044, P.R.C.
E-mail: Wangyx_98_s@sohu.com

Palm lines include principal lines and wrinkles, which can uniquely describe an individual palmprint. On motive of palmprint image enhancement is to highlight palm lines. In this paper, a steerable filters based fuzzy unsharp masking algorithm is presented to enhance the contrast of a palmprint image. This method introduces the fuzzy set theory into the unsharp masking scheme. Moreover, in the method, we replace a highpass filter with steerable filters in unsharp masking scheme. In order to further enhance the contrast of wrinkles, a half open membership function is proposed to transform the output of steerable filters into fuzzy domain. The experimental results clearly show that our method not only improves the mage quality of palmprint wrinkles, but can get a better recognition performance.

Keywords: biometrics, palmprint image enhancement, steerable filters, unsharp masking, fuzzy set theory

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Received October 11, 2006; revised March 12, 2007; accepted May 2, 2007.
Communicated by Kuo-Chin Fan.
*This work was supported partly by the National Grand Fundamental Research 973 Program of China (No. 2004 CB318005) and the National Natural Science Foundations of China (No.60472033 and No. 60672062).