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Research on Face Recognition Method by Autoassociative Memory Based on RNNs
Joint Authors
Wu, Zhengyang
Deng, Shiqin
Qiao, Ziqiang
Zhou, Junjie
Liu, Jin
Huang, Junjian
Han, Qi
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Han, Qi& Wu, Zhengyang& Deng, Shiqin& Qiao, Ziqiang& Huang, Junjian& Zhou, Junjie…[et al.]. 2018. Research on Face Recognition Method by Autoassociative Memory Based on RNNs. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1136236
Modern Language Association (MLA)
Han, Qi…[et al.]. Research on Face Recognition Method by Autoassociative Memory Based on RNNs. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1136236
American Medical Association (AMA)
Han, Qi& Wu, Zhengyang& Deng, Shiqin& Qiao, Ziqiang& Huang, Junjian& Zhou, Junjie…[et al.]. Research on Face Recognition Method by Autoassociative Memory Based on RNNs. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1136236
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136236