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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2556-2560

Robust face recognition algorithm based on multiple patch integration learning and improved random subspace LDA

Feng Daigao
Zhang Youjun
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0190

Abstract

Aiming at the negative effects of makeup on face recognition, this paper presented an improved robust face recognition algorithm based on patch integration learning. In the proposed scheme, this paper tessellated each face image into patches and represented each patch with a set of feature descriptors, viz, local Gabor pattern(LGP), histogram of Gabor space fixed ratio measures(HGSFRM) and densely sampled local multi-valued pattern(DSLMP). Then, it used an improved random subspace linear discriminant analysis(SRS-LDA) method to perform ensemble learning by sampling patches and constructing multiple common subspaces between before-makeup and after-makeup facial images. Finally, it used collaborative-based and sparse-based representation classifiers to compare feature vectors in this subspace and the resulting scores combined by the sum-rule. It evaluated the proposed face matching algorithm on multiple makeup dataset. Results show that this algorithm has higher recognition accuracy than other algorithms designed for face recognition under makeup situation.

Foundation Support

国家自然科学基金资助项目(61475137)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0190
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Technology of Graphic & Image
Pages: 2556-2560
Serial Number: 1001-3695(2019)08-067-2556-05

Publish History

[2019-08-05] Printed Article

Cite This Article

冯代高, 张友俊. 改进随机子空间LDA结合多补丁集成学习的鲁棒人脸识别算法 [J]. 计算机应用研究, 2019, 36 (8): 2556-2560. (Feng Daigao, Zhang Youjun. Robust face recognition algorithm based on multiple patch integration learning and improved random subspace LDA [J]. Application Research of Computers, 2019, 36 (8): 2556-2560. )

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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