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Technology of Graphic & Image
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935-939

Face recognition based on limit distance optimization

Zhou Shengyang
Zou Hua
Xiao Chunxia
School of Computer, Wuhan University, Wuhan 430072, China

Abstract

Given the sensitivity of human face angle, expression and attitude as well as the low recognition precision, this paper presented a new face recognition algorithm based on distance optimization method. There were two revised points in the proposed method: a) The algorithm used the LBP operator to extract the texture map of the face image and then converged it with the R, G and B channels of the original image, then the neural network could take the fused image matrix as input, which enriched the human face texture features; b) In the processing of training, it reconstructed the loss function to improve the performance, made use of the thresold and margin to constrain the distance of the feature vector, and built a new optimization target for the model, which could limit the faces of the same person have small euclidean distances and faces of distinct people have large distances. Experiments on the unconstrained scenes of the LFW face database show that the accuracy of the model is 99.15% respectively, indict the model can improve the accuracy of face recognition with strong robustness.

Foundation Support

国家自然科学基金资助项目(61672390,61303026,61472288)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.1016
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Technology of Graphic & Image
Pages: 935-939
Serial Number: 1001-3695(2019)03-059-0935-05

Publish History

[2019-03-05] Printed Article

Cite This Article

周胜阳, 邹华, 肖春霞. 基于距离限定优化的人脸识别 [J]. 计算机应用研究, 2019, 36 (3): 935-939. (Zhou Shengyang, Zou Hua, Xiao Chunxia. Face recognition based on limit distance optimization [J]. Application Research of Computers, 2019, 36 (3): 935-939. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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