A systematic algorithm for fingerprint image quality assessment

Authors:
Min Wu;A. Yong;Tong Zhao;Tiande Guo
Affiliations:
School of information Sciences and Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China;School of Mathematical Sciences, Graduate University of Chinese Academy of Sciences, Beijing, China;School of Mathematical Sciences, Graduate University of Chinese Academy of Sciences, Beijing, China;School of Mathematical Sciences, Graduate University of Chinese Academy of Sciences, Beijing, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Year:
2011

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Abstract

The fingerprint image quality is a key factor on the match results since it will cause spurious and missed minutiae when matching with the low quality images. It is important to estimate the image quality to guide the feature extraction and matching. In this paper we investigate the specifications that can reflect the image quality such as orientation coherence, core position and so on. We define a quasi core as a stable point to examine the validity of the captured position. We apply the idea of penalty function in the optimization theory to combine the specifications to get a quality score. The method is robust since it investigates the quality specifications entirely. The testing results on FVC database are given to verify the feasibility and effectiveness.