Presentation 1997/6/19
Evaluation of Binarization Methods for Fingerprint Identification
Miyuki Miki, Yukihiro Nishida, yoshihiko Hamamoto, Shingo Tomita,
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Abstract(in English) In this paper, we discuss how binarization methods must be evaluated for fingerprint identification. In general, two types of minutias, i.e., ridge endings and bifurcations, are detected from the thinned image. False minutiase structures result in the degradation of identification performance. Hence, it is very important to detect true minutiae. We evaluate five binarization methods in terms of the accuracy of detection of true ridge endings and bifurcations. Moreover, we discuss the quality of ridges. Experimental results with real fingerprints show that Mehtre's algorithm is recommended.
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Keyword(in English) fingerprint / identification / binarization / enhancement / minutiae / performance evaluation
Paper # PRMU97-38
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Committee PRMU
Conference Date 1997/6/19(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Binarization Methods for Fingerprint Identification
Sub Title (in English)
Keyword(1) fingerprint
Keyword(2) identification
Keyword(3) binarization
Keyword(4) enhancement
Keyword(5) minutiae
Keyword(6) performance evaluation
1st Author's Name Miyuki Miki
1st Author's Affiliation Tokuyama College of Technology()
2nd Author's Name Yukihiro Nishida
2nd Author's Affiliation Faculty of Engineering, Yamaguchi University
3rd Author's Name yoshihiko Hamamoto
3rd Author's Affiliation Faculty of Engineering, Yamaguchi University
4th Author's Name Shingo Tomita
4th Author's Affiliation Faculty of Engineering, Yamaguchi University
Date 1997/6/19
Paper # PRMU97-38
Volume (vol) vol.97
Number (no) 112
Page pp.pp.-
#Pages 6
Date of Issue