Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (5): 20-24.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Evaluation AIgorithm of Fingerprint Quality ßased on Feature Fusion

Ma Li-hong1  Yu De-cong1  Lu Han-qin2  Chen Zhi-qing3   

  1. 1. School of Electronic and Information Engineering， South China Univ. of Tech. , Guangzhou 510640 , Guangdong , China;2. National Laboratory of Pattem Recognition of Automation Institute , Chinese Academy of Sciences , Beijing 100080, China;3. Criminal Tech. Center, Dept. of Public Security of Guangdong Province , Guangzhou 510050 , Guangdong , China
  • Received:2006-05-09 Online:2007-05-25 Published:2007-05-25
  • Contact: 马丽红(1965-)，女，博士，副教授，主要从事图像视频处理与模式识别方面的研究. E-mail:eelhma@scut.edu.cn
  • About author:马丽红(1965-)，女，博士，副教授，主要从事图像视频处理与模式识别方面的研究.
  • Supported by:

    国家自然科学基金资助项目( 60472063 ) ;广东省自然科学基金项目资助(04020074/CN200402 )

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Abstract:

In order to solve the problem of quality difference in fingerprint in public security fingerprint database , a new fusion method to evaluate fingerprint quality is proposed by combining the spatial and the frequency features of a fingerprint image. In this method , the black-pixel ratio in the central area , the ring structure of Fourier spectrum and the directional Gabor features are first employed to respectively assess the fingerprint quality , and their corresponding evaluation performances are discussed. Then , according to the evaluation capacities of these features for different quality images , a nonlinear fusion approach is presented to obtain the final quality scores by weighing the nonlinear fusion of the features mentioned above. The fusion criterion is finally tested in a public security fingerprint database , the results demonstrate that the proposed nonlinear fusion algorithm is feasible in fingerprint quality evaluation.

Key words: fingerprint, quality evaluation, algorithm, nonlinear fusion, Gabor feature, black pixel ratio