Earticle

초록

영어

Biometric techniques for authentication using body parts such as a fingerprint, face, iris, voice, and finger-vein have become increasingly important in the personal security field, including door access control, finance security, and electronic passport. Finger-vein images can be captured under various conditions, such as different temperatures and illumination, and noise in the acquisition camera. Difficulties in recognizing finger-vein images include the use of a complex algorithm for noise reduction, image re-construction, and rotation invariance in the pattern-matching algorithm. In this paper, we use a compact CMOS camera with a penetrating infrared LED light source. In addition, we suggest a simple pattern matching method to reduce the calculation time for embedded environments. The experimental results show that our simple system has good results in terms of speed and accuracy for personal identification.

목차

Abstract
 1. Introduction
 2. Finger-vein Recognition System
  2.1 Image Acquisition System
  2.2. Image Deblurring Method
  2.3. Finger-vein Recognition Algorithm
 3. Experimental Results
 4. Conclusion
 References

키워드

저자

• Kuk Won Ko [ School of Mechanical and ICT Convergence Engineering ]
• Jiyeon Lee [ School of Mechanical and ICT Convergence Engineering ]
• Mehrdad Ahmadi [ School of Mechanical and ICT Convergence Engineering ]
• Sangjoon Lee [ School of Mechanical and ICT Convergence Engineering ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605