Earticle

초록

영어

Biometric authentication has been widely studied for many years and attracted much attention due to its large ability security application. Palm vein is more immovable and more difficult to fake than other biometrics such as fingerprint, palm print and face. Since palm veins exist inside of the body, it is exceedingly hard to be forged. Palm vein authentication uses the unique patterns of the palm vein to identify individuals at a high level of accuracy. In the proposed work, the palm vein image enhancement algorithm proposed based on Gaussian matched filtering and then two types of feature extraction are extracted. The global features based on wavelet coefficients and locale feature based on local binary pattern (LBP). In the propose work, a linear dimensionality reduction algorithm, called Isometric Projection is used. Finally, the Manhattan Distance (MHD) matching method is proposed to verify the test palm vein images. The experimental result shows the EER to the proposed method is 0.17488%.

목차

Abstract
 1. Introduction
 2. Preprocessing
 3. Feature Extraction
  3.1. Feature Extraction based on 2D-Wavelet Transform
  3.2. Feature Extraction based on LBP
 4. Dimension Reduction based on Isometric Projection
 5. Matching and Matching Score Fusion
 6. Experimental Results and Conclusion
  6.1. Experimental Results
  6.2. Conclusion
 Acknowledgement
 References

키워드

저자

• Ali Mohsin Al-juboori [ School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China, College of Computer Science and Mathematics, University of al-Qadisiyah7, Iraq ]
• Wei Bu [ Department of Media Technology and Art, Harbin Institute of Technology, Harbin, 150001, China ]
• Xiangqian Wu [ School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China ] Corresponding author
• Qiushi Zhao [ School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605