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New Algorithm Biometric-Based Iris Pattern Recognition System: Basis of Identity Authentication and Verification KCI 등재후보

Eun-suk Cho, Ronnie D. Caytiles, Seok-soo Kim

보안공학연구지원센터(JSE) 보안공학연구논문지 Vol.8 No.5 2011.10 pp.585-598

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

This study presents a new algorithm for biometric-based iris recognition system. The proposed iris identification algorithm consists of four major fundamental steps: image processing; image localization; IER extraction; and image pattern recognition. An image of an individual’s eye is processed into an 8-bit grayscale BMP image until the boundaries of the iris are detected. The IER (Iris Effective Region) feature is then extracted using the feature extraction algorithm. This IER feature is a 12x8 BMP image pattern which contains the gray values of the iris and will be used for pattern matching. The IER feature extracted is then used as input for the pattern recognition algorithm wherein the linear correlation coefficients are analyzed and will be used as the basis for the identification and verification of an individual.

 
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