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http://dx.doi.org/10.13089/JKIISC.2008.18.5.59

Measuring Level of Difficulty of Fingerprint Database based on Sample Quality  

Ryu, Ji-Eun (School of Information and Communication Engineering, Inha University)
Jang, Ji-Hyeon (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.18, no.5, 2008 , pp. 59-69 More about this Journal
Abstract
The purpose of this paper is to measure the level of difficulty of fingerprint database based on sample quality. This paper proposes distribution of a sample quality analyzer and a difference of sample quality analyzer to measure the level of difficulty. Experimental results demonstrate that there are stronger correlation between matching performance and level of difficulty based on difference of sample quality than other measure. Especially, level of difficulty based on OQ Block of MPQ co-occurrence matrix shows highest correlation with matching performance, and moreover it can predict the matching performance of unknown databases.
Keywords
Fingerprint recognition; Fingerprint database; Level of difficulty; Distribution of sample quality; Difference of sample quality; Performance prediction;
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