Shrotri A., Rethrekar S.C, Patil M.H., Debnath Bhattacharyya, Tai-hoon Kim
언어
영어(ENG)
URL
https://www.earticle.net/Article/A119101
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
Hand vein patterns are unique and universal. Vein pattern is used as biometric feature in recent years. But, it is not very much popular biometric system as compared to other systems like fingerprint, iris etc, because of the higher cost. For conventional algorithm, it is necessary to use high quality images, which demand high‐priced collection devices. There are two approaches for vein authentication, these are hand dorsa and hand ventral .Currently we are working on hand dorsa vein patterns. Here we are putting forward the new approach for low cost hand dorsa vein pattern acquisition using low cost device and proposing a algorithm to extract features from these low quality images.
목차
Abstract 1. Introduction 2. Features of Vein Pattern 2.1. Principle 3. Previous Work 4. Our Work 5. How to make webcam sensitive to IR region? 7. Vascular Pattern Analysis 7.1. Algorithm 8. Applications 9. Discussion 10. Future Work References
키워드
vein patternhand dorsaNIRwebcam
저자
Shrotri A. [ Department of Electronics Walchand College of Engineering Sangli, India ]
Rethrekar S.C [ Department of Electronics Walchand College of Engineering Sangli, India ]
Patil M.H. [ Department of Electronics Walchand College of Engineering Sangli, India ]
Debnath Bhattacharyya [ Computer Science and Engineering Department Heritage Institute of Technology Kolkata, India ]
Tai-hoon Kim [ Professor, Department of Multimedia Engineering, Hannam University, ]
Corresponding Author
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업