Paper Abstract and Keywords |
Presentation |
2022-03-10 12:10
High Speed Eye detector for Iris Recognition Yuka Ogino, Takahiro Toizumi, Masato Tsukada (NEC) IMQ2021-42 IE2021-104 MVE2021-71 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the imaging system for iris recognition, it is necessary to crop the right eye and the left eye for input to the iris recognition system from the partial face image including both eyes captured at high frame rate and high resolution. In this paper, we propose a fast eye detection method based on Fully-Convolutional Siamese Networks, which is a fast tracking method. The proposed method extracts features from an average image of one eye and a partial image of the face to be detected using a CNN framework, and generates a heatmap by calculating the spatial cosine similarity between the features. By applying a loss function using CosFace during training, we were able to distinguish the right eye from the left eye with high accuracy even in a light network. Experiment show that our method is faster and more accurate than conventional detection methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
iris recognition / eye detection / / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 420, IMQ2021-42, pp. 167-170, March 2022. |
Paper # |
IMQ2021-42 |
Date of Issue |
2022-03-02 (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) |
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IMQ2021-42 IE2021-104 MVE2021-71 |
Conference Information |
Committee |
CQ IMQ MVE IE |
Conference Date |
2022-03-09 - 2022-03-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online (Zoom) |
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 |
Paper Information |
Registration To |
IMQ |
Conference Code |
2022-03-CQ-IMQ-MVE-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
High Speed Eye detector for Iris Recognition |
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iris recognition |
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eye detection |
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1st Author's Name |
Yuka Ogino |
1st Author's Affiliation |
NEC Corporation (NEC) |
2nd Author's Name |
Takahiro Toizumi |
2nd Author's Affiliation |
NEC Corporation (NEC) |
3rd Author's Name |
Masato Tsukada |
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NEC Corporation (NEC) |
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Speaker |
Author-1 |
Date Time |
2022-03-10 12:10:00 |
Presentation Time |
25 minutes |
Registration for |
IMQ |
Paper # |
IMQ2021-42, IE2021-104, MVE2021-71 |
Volume (vol) |
vol.121 |
Number (no) |
no.420(IMQ), no.422(IE), no.423(MVE) |
Page |
pp.167-170 |
#Pages |
4 |
Date of Issue |
2022-03-02 (IMQ, IE, MVE) |
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