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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Main Authors: Qi Han, Zhengyang Wu, Shiqin Deng, Ziqiang Qiao, Junjian Huang, Junjie Zhou, Jin Liu
Format: Article
Language:English
Published: Wiley 2018-01-01
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.
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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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AT ziqiangqiao researchonfacerecognitionmethodbyautoassociativememorybasedonrnns
AT junjianhuang researchonfacerecognitionmethodbyautoassociativememorybasedonrnns
AT junjiezhou researchonfacerecognitionmethodbyautoassociativememorybasedonrnns
AT jinliu researchonfacerecognitionmethodbyautoassociativememorybasedonrnns