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| Presentation | 2023-03-16 15:40 Iris Image Quality Assessment with Degradation Scores for Recognition Ryuichi Akashi, Yuho Shoji, Takahiro Toizumi, Atsushi Ito (NEC)  IMQ2022-57 IE2022-134 MVE2022-87 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose an iris image quality assessment method to quantify the influence of each type of image degradation on iris recognition. In iris recognition, the iris must be captured clearly and with high resolution in order to extract personal characteristics from the microscopic iris pattern. Due to the difficulty of capturing, the quality of the iris image is often degraded, and low-quality iris images reduce the recognition performance in the actual system. It is necessary not only to estimate the quality of the iris image but also to remove the degradation that impact to the recognition performance. We propose an iris image quality assessment method that can quantify the degradation score for each type of degradation, which represents the influence of degradation on iris recognition. The proposed method calculates a degradation score for each type of degradation considering the characteristics of the recognition engine by learning a linear regression model using data in which the intensity for each type of degradation is paired with the iris recognition score. The degradation scores can be used to estimate the type of degradation that causes quality degradation. Experimental results show that the proposed method can improve the equal error rate in iris recognition by removing low-quality images from the dataset. Furthermore, we show that the proposed method can identify the type of image degradation that causes iris image quality degradation to estimate the type of degradation that affects the engine. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | iris recognition / image quality assessment / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 437, IMQ2022-57, pp. 182-187, March 2023. | |
| Paper # | IMQ2022-57 | |
| Date of Issue | 2023-03-08 (IMQ, IE, MVE) | |
| 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 | IMQ2022-57 IE2022-134 MVE2022-87 |
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| Conference Information | |
| Committee | IMQ IE MVE CQ |
| Conference Date | 2023-03-15 - 2023-03-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawaken Seinenkaikan (Naha-shi) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） |
| Paper Information | |
| Registration To | IMQ |
| Conference Code | 2023-03-IMQ-IE-MVE-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Iris Image Quality Assessment with Degradation Scores for Recognition |
| Sub Title (in English) | |
| Keyword(1) | iris recognition |
| Keyword(2) | image quality assessment |
| Keyword(3) | |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Ryuichi Akashi |
| 1st Author's Affiliation | NEC Corporation (NEC) |
| 2nd Author's Name | Yuho Shoji |
| 2nd Author's Affiliation | NEC Corporation (NEC) |
| 3rd Author's Name | Takahiro Toizumi |
| 3rd Author's Affiliation | NEC Corporation (NEC) |
| 4th Author's Name | Atsushi Ito |
| 4th Author's Affiliation | NEC Corporation (NEC) |
| Speaker | Author-1 |
| Date Time | 2023-03-16 15:40:00 |
| Presentation Time | 25 minutes |
| Registration for | IMQ |
| Paper # | IMQ2022-57, IE2022-134, MVE2022-87 |
| Volume (vol) | vol.122 |
| Number (no) | no.437(IMQ), no.439(IE), no.440(MVE) |
| Page | pp.182-187 |
| #Pages | 6 |
| Date of Issue | 2023-03-08 (IMQ, IE, MVE) |
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