Presentation | 2008-02-21 Personal Authentication by Handwritten Characters Using Sequential Neural Network Hideaki MATSUMOTO, Michio UMEDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a personal authentication method by writer verification using a sequential neural network which can reduce a sense of rejection and resistance problem exists in biometric authentication. The sequential neural network that can handle time series patterns applied to the field of offline writer verification is almost no example. This method can obtain the features such as character types, writing locus and input order of characters by using multiple handwritten characters treated as time series data. From the evaluation experiment at the three cases of illegal authentication, it is shown that the proposed personal authentication method is effective. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | personal authentication / writer verification / handwritten characters / weighted direction index histogram method / sequential neural network |
Paper # | PRMU2007-222 |
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Committee | PRMU |
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Conference Date | 2008/2/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Personal Authentication by Handwritten Characters Using Sequential Neural Network |
Sub Title (in English) | |
Keyword(1) | personal authentication |
Keyword(2) | writer verification |
Keyword(3) | handwritten characters |
Keyword(4) | weighted direction index histogram method |
Keyword(5) | sequential neural network |
1st Author's Name | Hideaki MATSUMOTO |
1st Author's Affiliation | Graduate School of Engineering, Osaka Electro-Communication University() |
2nd Author's Name | Michio UMEDA |
2nd Author's Affiliation | Graduate School of Engineering, Osaka Electro-Communication University |
Date | 2008-02-21 |
Paper # | PRMU2007-222 |
Volume (vol) | vol.107 |
Number (no) | 491 |
Page | pp.pp.- |
#Pages | 6 |
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