Earticle

초록

영어

Iris recognition has many advantages over other forms of biometric identification. The study for human iris recently has attracted the attention of biometrics-based identification and verification research and development institutions. 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.

목차

Abstract
 1. Introduction
 2. Previous Works
 3. Image Processing
  3.1 Conversion of Original Image to Grayscale Image
  3.2 IRIS Localization
  3.3 Extraction of Iris Effective Region
 4. Results
 5. Conclusions
 References

키워드

저자

• Eun-suk Cho [ Department of Multimedia Engineering, Hannam University ]
• Yvette Gelogo [ Department of Multimedia Engineering, Hannam University ]
• Seok-soo Kim [ Department of Multimedia Engineering, Hannam University, Professor ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  보안공학연구논문지 [Journal of Security Engineering]

• 간기

  계간

• pISSN

  1738-7531

• 수록기간

  2005~2017

• 십진분류

  KDC 505 DDC 605