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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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
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
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)