Technology of Graphic & Image
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1901-1906

Improved fusion recognition for near infrared palmprint and palm vein image

Jiang Xiaolong
Wang Huabin
Wang Dongxu
Zhu Yan
Tao Liang
School of Computer Science & Technology, Anhui University, Hefei 230601, China

Abstract

The palmprint enhancement algorithm and the palm vein enhancement algorithm in single near infrared palm vein palmprint fusion recognition algorithm can not highlight the palmprint structure and palm vein structure well. To solve this problem, this paper proposed an improved palmprint and palm vein fusion algorithm. First, it used the block model to remove the palm to get the structure of the pure palmprint, and defined a new membership function to make palmprint structure fuzzified, then it combined the fuzzy palmprint structure with the anti-sharpening mask method to highlight the palmprint structure information. Secondly, it used edge detection weighted guided filtering to enhance the structure of the palm vein so that the palm vein structure was highlighted. Finally, it acquired the palmprint and palm vein images for adaptive weight fusion. The experimental results show that the recognition rate of the improved fusion recognition algorithm reaches 99.81%.

Foundation Support

国家自然科学基金资助项目(61372137)
安徽大学大学生创新创业项目(CXCY2016313)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0055
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Graphic & Image
Pages: 1901-1906
Serial Number: 1001-3695(2019)06-063-1901-06

Publish History

[2019-06-05] Printed Article

Cite This Article

江晓龙, 王华彬, 王东旭, 等. 改进的单幅近红外掌纹掌静脉图像融合识别 [J]. 计算机应用研究, 2019, 36 (6): 1901-1906. (Jiang Xiaolong, Wang Huabin, Wang Dongxu, et al. Improved fusion recognition for near infrared palmprint and palm vein image [J]. Application Research of Computers, 2019, 36 (6): 1901-1906. )

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.

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