Presentation | 2014-10-17 A Study of a Score Calculation Method Using Correspondence of Feature Points for Biometric Authentication Koichi ITO, Shoichiro AOYAMA, Takafumi AOKI, |
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Abstract(in English) | In the field of computer vision, a lot of feature-based correspondence matching methods have been proposed. These methods are also effective for biometric recognition. In general, in the case of feature-based matching methods, the matching score is defined as a ratio between the number of feature points and corresponding points. These methods are also used to correct image deformation by fitting an image transformation model to images according to the correspondence between images. Then, the matching score is calculated from the corrected images so as to take into consideration image deformation. On the other hand, this paper proposes a score calculation method which directly calculates a matching score from the correspondence obtained by the feature-based matching method. The proposed method does not need any deformation model defined for each biometric trait to handle image deformation. The combination of the matching scores calculated by the proposed method and the conventional method improves the performance of biometric recognition algorithms, since these scores play a complementary role in decision. Through a set of experiments using a palmprint image database, we demonstrate that the proposed method exhibits efficient performance for biometric recognition. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | correspondence matching / matching score / SIFT / POC / biometrics |
Paper # | BioX2014-36 |
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Committee | BioX |
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Conference Date | 2014/10/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Biometrics (BioX) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study of a Score Calculation Method Using Correspondence of Feature Points for Biometric Authentication |
Sub Title (in English) | |
Keyword(1) | correspondence matching |
Keyword(2) | matching score |
Keyword(3) | SIFT |
Keyword(4) | POC |
Keyword(5) | biometrics |
1st Author's Name | Koichi ITO |
1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
2nd Author's Name | Shoichiro AOYAMA |
2nd Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
3rd Author's Name | Takafumi AOKI |
3rd Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
Date | 2014-10-17 |
Paper # | BioX2014-36 |
Volume (vol) | vol.114 |
Number (no) | 251 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |