Earticle

초록

영어

Vein-based biometrics is a newly developed technology for personal recognition, and it is widely used in practice and intensively studied. This paper proposes a method for palm vein recognition based on the directional information derived from local binary patters. In the proposed method, palm vein images are firstly enhanced using a multi-scale Gaussian matched filter to emphasize vein patterns before feature extraction. After that, local binary patterns are extracted from the enhanced palm vein images. Considering that the direction is the most discriminative feature of veins, the directional information is then computed from the local binary patterns. The computed palm vein features are represented as binary series, therefore, similarities can be computed efficiently by binary operation. Experiments carried out over the near infer-red band of the PolyU multispectral database shows the superiority of the proposed method on verification accuracy to some state-of-the-art literatures.

목차

Abstract
 1. Introduction
 2. Palm Vein Image Preprocessing
 3. Feature Extraction and Similarity Measurement
  3.1. A Brief Review of LBP
  3.2. Deriving Directional Features from LBP
  3.3. Similarity Measurement
 4. Experiments and Discussions
  4.1 Dataset
  4.2. Results of Verification
  4.3. Multi-Scale Analysis
  4.4. Multimodal Analysis
 5. Conclusions
 References

키워드

저자

• Wenjing Lu [ School of Technology, Harbin University, Harbin, China ] Corresponding Author
• Meini Li [ School of Technology, Harbin University, Harbin, China ]
• Lei Zhang [ School of Art and Design, Harbin University, Haring, 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