Research on Face Recognition Method by Autoassociative Memory Based on RNNs
In order to avoid the risk of the biological database being attacked and tampered by hackers, an Autoassociative Memory (AAM) model is proposed in this paper. The model is based on the recurrent neural networks (RNNs) for face recognition, under the condition that the face database is replaced by it...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/8524825 |
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author | Qi Han Zhengyang Wu Shiqin Deng Ziqiang Qiao Junjian Huang Junjie Zhou Jin Liu |
author_facet | Qi Han Zhengyang Wu Shiqin Deng Ziqiang Qiao Junjian Huang Junjie Zhou Jin Liu |
author_sort | Qi Han |
collection | DOAJ |
description | In order to avoid the risk of the biological database being attacked and tampered by hackers, an Autoassociative Memory (AAM) model is proposed in this paper. The model is based on the recurrent neural networks (RNNs) for face recognition, under the condition that the face database is replaced by its model parameters. The stability of the model is proved and analyzed to slack the constraints of AAM model parameters. Besides, a design procedure about solving AAM model parameters is given, and the face recognition method by AAM model is established, which includes image preprocessing, AAM model training, and image recognition. Finally, simulation results on two experiments show the feasibility and performance of the proposed face recognition method. |
format | Article |
id | doaj-art-c66c9e6a32e14efda71e04689ea32308 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-c66c9e6a32e14efda71e04689ea323082025-02-03T06:44:14ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/85248258524825Research on Face Recognition Method by Autoassociative Memory Based on RNNsQi Han0Zhengyang Wu1Shiqin Deng2Ziqiang Qiao3Junjian Huang4Junjie Zhou5Jin Liu6Intelligent School of Technology and Engineering, Chongqing University of Science and Technology, 401331 Chongqing, ChinaCollege of Safety Engineering, Chongqing University of Science and Technology, 401331 Chongqing, ChinaIntelligent School of Technology and Engineering, Chongqing University of Science and Technology, 401331 Chongqing, ChinaChina United Engineering Corporation Limited, 310052 Hangzhou, Zhejiang, ChinaKey Laboratory of Machine Perception and Children’s Intelligence Development, Chongqing University of Education, 400067 Chongqing, ChinaChongqing Energy Investment Group Science and Technology Co., Ltd., 400061 Chongqing, ChinaCollege of Safety Engineering, Chongqing University of Science and Technology, 401331 Chongqing, ChinaIn order to avoid the risk of the biological database being attacked and tampered by hackers, an Autoassociative Memory (AAM) model is proposed in this paper. The model is based on the recurrent neural networks (RNNs) for face recognition, under the condition that the face database is replaced by its model parameters. The stability of the model is proved and analyzed to slack the constraints of AAM model parameters. Besides, a design procedure about solving AAM model parameters is given, and the face recognition method by AAM model is established, which includes image preprocessing, AAM model training, and image recognition. Finally, simulation results on two experiments show the feasibility and performance of the proposed face recognition method.http://dx.doi.org/10.1155/2018/8524825 |
spellingShingle | Qi Han Zhengyang Wu Shiqin Deng Ziqiang Qiao Junjian Huang Junjie Zhou Jin Liu Research on Face Recognition Method by Autoassociative Memory Based on RNNs Complexity |
title | Research on Face Recognition Method by Autoassociative Memory Based on RNNs |
title_full | Research on Face Recognition Method by Autoassociative Memory Based on RNNs |
title_fullStr | Research on Face Recognition Method by Autoassociative Memory Based on RNNs |
title_full_unstemmed | Research on Face Recognition Method by Autoassociative Memory Based on RNNs |
title_short | Research on Face Recognition Method by Autoassociative Memory Based on RNNs |
title_sort | research on face recognition method by autoassociative memory based on rnns |
url | http://dx.doi.org/10.1155/2018/8524825 |
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