Comparison of the Fingerprint Verification Methods Based on the Discrete and Continuous Hidden Markov Model
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- Umezaki Taizo
- Chubu University
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- Takeuchi Hideyo
- Chuo Spring co., ltd.
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- Fujiyoshi Hironobu
- Chubu University
Bibliographic Information
- Other Title
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- 離散及び連続出力分布型HMMによる指紋照合法の比較
- 離散および連続出力分布型HMMによる指紋照合法の比較
- リサン オヨビ レンゾク シュツリョク ブンプガタ HMM ニヨル シモン シ
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Abstract
In this paper, two fingerprint verification methods based on the discrete and continuous hidden markov model (HMM) are proposed, and those performances are evaluated. First, the optimal number of state for the continuous HMM is investigated. In case of x direction analysis, the number of state is less than the number of state which are necessary in case of y direction analysis, because there is a blank area in the upper part of fingerprint image. Next, the verification abilities of the discrete and continuous HMM are compared. When the HMM for one finger was built from 10 fingerprint images for a fingerprint registration, 100 [%] and 99.9 [%] verification rates were obtained respectively using the discrete and continuous HMM (Type II error 0 [%]). However the memory capacity which is needed for a fingerprint registration is fewer in the continuous HMM, and it is shown that about 6k bytes are necessary.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 118 (6), 955-960, 1998
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204608306048
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- NII Article ID
- 130006844070
- 20000141290
- 10002814296
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 4492070
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed