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http://dx.doi.org/10.13089/JKIISC.2010.20.3.23

Maximizing WSQ Compression Rate by Considering Fingerprint Image Quality  

Hong, Seung-Woo (Department of Computer and Information Science, Korea University)
Lee, Sung-Ju (Department of Computer and Information Science, Korea University)
Chung, Yong-Wha (Department of Computer and Information Science, Korea University)
Choi, Woo-Yong (Human ID Research Team, ETRI)
Moon, Dae-Sung (Human ID Research Team, ETRI)
Moon, Ki-Young (Human ID Research Team, ETRI)
Jin, Chang-Long (School of Information and Communication Engineering, Inha University)
Kim, Hak-Il (School of Information and Communication Engineering, Inha University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.20, no.3, 2010 , pp. 23-30 More about this Journal
Abstract
Compression techniques can be applied to large-scale fingerprint systems to store or transmit fingerprint data efficiently. In this paper, we investigate the effects of FBI WSQ fingerprint image compression on the performance of a fingerprint verification system using multiple linear regressions. We propose a maximum compression using fingerprint image quality score. Based on the experiments, we can confirm that the proposed approach can compress the fingerprint images up to 3 times more than the fixed compression ratio without significant degradation of the verification accuracy.
Keywords
image compression; fingerprint image quality; multiple linear regression;
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