지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.5
- 수록면
- 488 - 491 (4page)
이용수
초록· 키워드
오류제보하기
The iris is so unique that no two irisis are alike, even among identical twins, in the entire human population. The human iris recently has attracted the attention of biometrics-based identification and verification research and development community. In this paper we propose a new biometric-based Iris localization and feature extraction system which 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. Using the high quality sensors, the system automatically acquires the biometric data in numerical format (Iris Images). The colored captured images will be processed to gray scale images. The new biometric-based Iris feature extraction will be compared to other two stored feature by producing a similarity score. This score will be indicating the degree of similarity between a pair of biometrics data under consideration. By considering Biological characteristics of IRIS Pattern we use Statistical Correlation Coefficient for this ‘IRIS Pattern’ recognition where Statistical Estimation Theory can play a big role.
Depending on degree of similarity, individual can be identified.
Depending on degree of similarity, individual can be identified.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Image Processing
Ⅲ. Results
Ⅳ. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2013-566-000688526