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| Presentation | 2022-03-03 13:30 Evaluation of Biometric Accuracy with Small Samples Using Extreme Value Distribution Tomoaki Matsunami, Shigefumi Yamada (JAISA)  BioX2021-47 CNR2021-28 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The accuracy of recent biometrics technology has been improved, and it is necessary to valuate at very small False Match Rate (FMR). Until now, the evaluation has been carried out based on the rule of three shown in ISO/IEC 19795 -1, however, the sample of enormous biometric score data is required to evaluate small FMR, and it becomes a burden to collect them. In this study, we estimated FMR by calculating 95% confidence interval of extreme value distribution from random number value generated by Bayesian estimation based on score distribution of false pair of biometric data. Experimental results show FMR could be estimated at the almost same accuracy even from the sample number of 1/10 of biometric scores in comparison with rule of three. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Biometric performance testing / False match rate / Rule-of-three / Extreme value theory / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 396, BioX2021-47, pp. 7-12, March 2022. | |
| Paper # | BioX2021-47 | |
| Date of Issue | 2022-02-24 (BioX, CNR) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | BioX2021-47 CNR2021-28 |
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| Conference Information | |
| Committee | CNR BioX |
| Conference Date | 2022-03-03 - 2022-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | BioX |
| Conference Code | 2022-03-CNR-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Biometric Accuracy with Small Samples Using Extreme Value Distribution |
| Sub Title (in English) | |
| Keyword(1) | Biometric performance testing |
| Keyword(2) | False match rate |
| Keyword(3) | Rule-of-three |
| Keyword(4) | Extreme value theory |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tomoaki Matsunami |
| 1st Author's Affiliation | Japan Automatic Identification Systems Association (JAISA) |
| 2nd Author's Name | Shigefumi Yamada |
| 2nd Author's Affiliation | Japan Automatic Identification Systems Association (JAISA) |
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| Speaker | Author-1 |
| Date Time | 2022-03-03 13:30:00 |
| Presentation Time | 30 minutes |
| Registration for | BioX |
| Paper # | BioX2021-47, CNR2021-28 |
| Volume (vol) | vol.121 |
| Number (no) | no.396(BioX), no.397(CNR) |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2022-02-24 (BioX, CNR) |
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