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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
615-618

Discriminative bi-directional CRC algorithm for image recognition

Wang Yanan
Song Xiaoning
School of Artificial Intelligence & Computer, Jiangnan University, Wuxi Jiangsu 214122, China
DOI: 10.19734/j.issn.1001-3695.2019.10.0646

Abstract

Collaborative representation-based classification(CRC) has become a breakthrough in the field of face classification due to its effective collaborative capability. However, for some practical scenarios, it used few or even a single face image to address the issues such as illumination, expression, pose and occlusion changes, which might lead to inadequate capability for CRC. To solve this problem, this paper proposed a discriminative bi-directional CRC(DB-CRC) algorithm for image recognition. Firstly, it obtained a structured dictionary using Fisher discrimination dictionary learning(FDDL) model, in which the sub-dictionary of specific-class had robust representation capability for the samples of related-classes. Therefore, by means of larger inter-class and smaller intra-class scatters, the reconstruction error and coding coefficient could be described in discriminant manner. Then, it used the obtained sparse coding coefficients as the test samples for the bi-directional representation, and established a fast inverse representation model. It estimated the bi-directional reconstruction based residual information between each test sample and the structured dictionary via bi-directional representation strategy. Finally, this paper used the competitive fusion method to achieve the final classification result, by weighting and ranking the obtained reconstructed resi-duals from the bi-directional representation model. Experimental results conducted on a set of well-known face databases including AR, PIE and LFW verify the effectiveness of this algorithm, especially its robustness for small sample size problem.

Foundation Support

国家重点研发计划资助项目(2017YFC1601800)
国家自然科学基金资助项目(61876072)
中国博士后科学基金特别资助项目(2018T110441)
江苏省六大人才高峰项目(XYDXX-012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.10.0646
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Technology of Graphic & Image
Pages: 615-618
Serial Number: 1001-3695(2021)02-058-0615-04

Publish History

[2021-02-05] Printed Article

Cite This Article

王亚楠, 宋晓宁. 判别性双向协同表示的图像识别算法 [J]. 计算机应用研究, 2021, 38 (2): 615-618. (Wang Yanan, Song Xiaoning. Discriminative bi-directional CRC algorithm for image recognition [J]. Application Research of Computers, 2021, 38 (2): 615-618. )

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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