비정형 홍채 패턴 분리에 관한 연구

국문 초록 (Abstract)

최근 정보화 시대에 발맞추어 보안에 관한 중요성이 증가하고 있다. 따라서 지문, 장문, 서명, 홍채 인식과 같은 생체 인식 시스템에 대한 관심이 급증하고 있고, 그중에서 가장 신뢰성과 보안성에서 뛰어난 홍채 인식에 대한 연구가 활발히 진행 중이다. 홍채 인식의 관한 연구는 많이 진행되어 왔지만 홍채 인식의 가장 큰 이슈는 홍채 영역 분할과 특정 추출로 요약할 수 있다. 본 논문에서는 곡선에 유연한 곡선 검출기를 이용하여 기존 원형 검출기가 갖는 문제점을 극복하고, 보다 정확한 홍채 영역 분할을 이루었다. 따라서 주변 환경의 변화에 신속히 대처할 수 있고, 기하학적인 경계 검출에 유용하다.

다국어 초록 (Multilingual Abstract)

Recently, biometric systems are of interest for the reliable security system. Iris recognition technology is one of the biometric system with the highest reliability. Various iris recognition methods have been proposed for automatic personal identification and verification. These methods require accurate iris segmentation for successful processing because the iris is a small part of an acquired image. The iris boundaries have been parametrically modeled and subsequently detected by circles or parabolic arcs. Since the iris boundaries have a wide range of edge contrast and irregular border shapes, the assumption that they can be fit to circles or parabolic arcs is not always valid. In some cases, the shape of a dilated pupil is slightly different from a constricted one. This is especially true when the pupil has an irregular shape. This is why this research is important. This paper addresses how to accurately detect iris boundaries for improved iris recognition, which is robust to noises.

목차 (Table of Contents)

• 요약
• Abstract
• 1. 서론
• 2. 본론
• 3. 결론
• 참고문헌
• 저자소개

참고문헌 (Reference)

1 M. Kass, "Snakes : Active Contour Models" 1987

2 J. G. Daugman, "Recognizing Iris Texture by Phase Demodulation", The Institution of Electrical Engineers"

3 F. H. Adler, "Physiology of the Eye : Clinical Application" The C. V. Mosby Company 1995

4 D. de Martin-Roche, "Iris Recognition for Biometric Identification using Dyadic Wavelet Transform Zero-Crossing" 272-277, 2001

5 Richard P. Wildes, "Iris Recognition : An Emerging Biometric Technology" 85 (85): 1348-1363, 1997

6 Anil Jain, "Introduction to biometrics", Biometrics-Personal Identification in Networked Society" Kluwer Academic Publishers 1-41, 1999

7 J. G. Daugman, "High confidence visual recognition of persons by a test of statistical independence" 15 (15): 1148-1161, 1993

8 J. G. Daugman, "High confidence Recognition fo Persons by Rapid Analysis of Iris Texture, No.408" 244-251, 1995

9 John Daugman, "High Confidence Recognition of Persons by Iris Patterns" 254-263, 2001

10 David M. Mount, "Efficient Randomized Algorithm for Robust Estimation of Circular Arcs and Aligned Ellipses" 19 : 1-13, 2001

11 J. G. Daugman, "Biometrics personal identification system based on iris analysis", U.S Patent 5291560"

12 Y. Zhu, "Biometric Person Identification based on Iris Pattern" 805-808, 2000

13 R. P. Wildes, "A system for automated iris recognition" 121-128, 1994

14 W. W. Boles, "A Human Identification Technique Using Images of the Iris and Wavelet Transform" 46 (46): 1185-1188, 1998

15 Williams, D, "A Fast Algorithm for Active Contours and Curvature Estimation" 55 (55): 14-26, 1992

16 Williams, D, "A Fast Algorithm for Active Contours and Curvature Estimation" 55 (55): 14-26, 1992