Presentation 1997/6/19
Automated Fingerprint Classification Using Multiple Features with Reliability Factors
Kaoru UCHIDA, Toshio KAMEI, Masanori MIZOGUCHI, Tsutomu TEMMA,
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Abstract(in English) This paper describes a fingerprint classification technique for an automated fingerprint identification system with a large-size fingerprint card database. The automated classifier extracts various features from the image, and the preselector combines and utilizes the set of features with a respective reliability factors. The experimental results show the effective classification capability of the proposed method.
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Keyword(in English) fingerprint / classification / identification / feature / reliability / integration
Paper # PRMU97-39
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Conference Information
Committee PRMU
Conference Date 1997/6/19(1days)
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Paper Information
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) Automated Fingerprint Classification Using Multiple Features with Reliability Factors
Sub Title (in English)
Keyword(1) fingerprint
Keyword(2) classification
Keyword(3) identification
Keyword(4) feature
Keyword(5) reliability
Keyword(6) integration
1st Author's Name Kaoru UCHIDA
1st Author's Affiliation Information Technology Research Laboratories, NEC Corporation()
2nd Author's Name Toshio KAMEI
2nd Author's Affiliation Information Technology Research Laboratories, NEC Corporation
3rd Author's Name Masanori MIZOGUCHI
3rd Author's Affiliation Information Technology Research Laboratories, NEC Corporation
4th Author's Name Tsutomu TEMMA
4th Author's Affiliation Information Technology Research Laboratories, NEC Corporation
Date 1997/6/19
Paper # PRMU97-39
Volume (vol) vol.97
Number (no) 112
Page pp.pp.-
#Pages 8
Date of Issue