Earticle

초록

영어

Palm vein recognition is a part of physiological biometric uses blood vessel structure for the identification. The blood transfusion from body parts to heart is made by the blood vein. The blood vein carries de-oxygenated hemoglobin that can be sensed under near infrared light. The pattern classification proposes a design cycle to build a system for recognition. The image database was obtained from Hong Kong Polytechnic University. The experimentation was carried on palm vein image captured under near infrared light. The distance metric computation was done and stored in the form of the template. The paper discuss about the experimentation of Euclidean distance metric on the palm vein feature extracted binary image using Gabor filter and canny edge detection.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. About Image Database
 4. Methodology
 5. Experiments And Results
 6. Conclusion
 References

키워드

저자

• Shriram D. Raut [ School of Computational Sciences, Solapur University, Solapur, Maharashtra, India ]
• Dr. Vikas T. Humbe [ School of Technology, S. R. T. M. U. N., Sub-Centre, Latur, Maharashtra, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605