| Presentation | 2022-10-03 A Study of Region-Based Iris Recognition Using Convolutional Neural Network Shokei Kawakami, Hiroya Kawai, Koichi Ito, Takafumi Aoki, Yoshiko Yasumura, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The iris, the ring-shaped area between the pupil and the sclera of the eye, has a unique pattern that can be used to identify individuals based on their iris patterns. To improve the performance of iris recognition using Convolutional Neural Network (CNN), we propose a region-based method using CNN. In the proposed method, the iris is divided into four regions, and features are extracted from each region using CNN. The proposed method improves the recognition performance by selecting training data for each region, calculating a weighted matching score considering the iris region, introducing data augmentation suitable for iris images, and introducing an attention mechanism. We demonstrate the effectiveness of the proposed method through performance evaluation experiments using the public datasets of iris images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | iris recognition / biometrics / convolutional neural network |
| Paper # | BioX2022-57 |
| Date of Issue | 2022-09-26 (BioX) |
| Conference Information | |
| Committee | BioX |
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| Conference Date | 2022/10/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hitoshi Imaoka(NEC) |
| Vice Chair | Norihiko Okui(KDDI Research) / Naoyuki Takada(SECOM) |
| Secretary | Norihiko Okui(NEC) / Naoyuki Takada(MitsubishiElectric) |
| Assistant | Hiroyuki Suzuki(Gunma Univ) / Shinichi Shirakawa(Yokohama National Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Biometrics |
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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 Region-Based Iris Recognition Using Convolutional Neural Network |
| Sub Title (in English) | |
| Keyword(1) | iris recognition |
| Keyword(2) | biometrics |
| Keyword(3) | convolutional neural network |
| 1st Author's Name | Shokei Kawakami |
| 1st Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 2nd Author's Name | Hiroya Kawai |
| 2nd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 3rd Author's Name | Koichi Ito |
| 3rd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 4th Author's Name | Takafumi Aoki |
| 4th Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 5th Author's Name | Yoshiko Yasumura |
| 5th Author's Affiliation | Hitachi Ltd.(Hitachi) |
| 6th Author's Name | Masakazu Fujio |
| 6th Author's Affiliation | Hitachi Ltd.(Hitachi) |
| 7th Author's Name | Yosuke Kaga |
| 7th Author's Affiliation | Hitachi Ltd.(Hitachi) |
| 8th Author's Name | Kenta Takahashi |
| 8th Author's Affiliation | Hitachi Ltd.(Hitachi) |
| Date | 2022-10-03 |
| Paper # | BioX2022-57 |
| Volume (vol) | vol.122 |
| Number (no) | BioX-197 |
| Page | pp.pp.13-18(BioX), |
| #Pages | 6 |
| Date of Issue | 2022-09-26 (BioX) |