Debnath Bhattacharyya, Poulami Das, Samir Kumar Bandyopadhyay, Tai-hoon Kim
언어
영어(ENG)
URL
https://www.earticle.net/Article/A147556
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원문정보
초록
영어
In this paper we propose a new biometric-based Iris feature extraction system. The system automatically acquires the biometric data in numerical format (Iris Images) by using a set of properly located sensors. We are considering camera as a high quality sensor. Iris Images are typically color images that are processed to gray scale images. Then the Feature extraction algorithm is used to detect “IRIS Effective Region (IER)” and then extract features from “IRIS Effective Region (IER)” that are numerical characterization of the underlying biometrics. Later on this work will be helping to identify an individual by comparing the feature obtained from the feature extraction algorithm with the previously stored feature by producing a similarity score. This score will be indicating the degree of similarity between a pair of biometrics data under consideration. Depending on degree of similarity, individual can be identified.
목차
Abstract 1 Introduction 2 Previous Works 3 Our Work 3.1 24-bit bitmap Color Image to 8-bit Gray Scale Conversion 3.2 IRIS Edge Detection 3.3 IRIS Effective Region Extraction and Pattern Generation 4 Result 5 Conclusion References
키워드
BiometriceyeprintIRISIERPattern Recognition and Degree of Freedom.
저자
Debnath Bhattacharyya [ Computer Science and Engineering Department, Heritage Institute of Technology ]
Poulami Das [ Computer Science and Engineering Department, Heritage Institute of Technology ]
Samir Kumar Bandyopadhyay [ Department of Computer Science and Engineering, University of Calcutta ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
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
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application vol.1 no.1