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A study on Iris Recognition using Wavelet Transformation and Nonlinear Function
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  • A study on Iris Recognition using Wavelet Transformation and Nonlinear Function
  • A study on Iris Recognition using Wavelet Transformation and Nonlinear Function
저자명
Hur. Jung-Youn,Truong. Le Xuan,Lee. Sang-Kyu
간행물명
퍼지 및 지능시스템학회 논문지
권/호정보
2005년|15권 3호|pp.357-362 (6 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Iris recognition system is the one of the most reliable biometries recognition system. An algorithm is proposed to determine the localized iris from the iris image received from iris input camera in client. For the first step, the algorithm determines the center of pupil. For the second step, the algorithm determines the outer boundary of the iris and the pupillary boundary. The localized iris area is transformed into polar coordinates. After performing three times Wavelet transformation, normalization was done using a sigmoid function. The converting binary process performs normalized value of pixel from 0 to 255 to be binary value, and then the converting binary process is compared pairs of two adjacent pixels. The binary code of the iris is transmitted to the server by the network. In the server, the comparing process compares the binary value of presented iris to the reference value in the database. The process of recognition or rejection is dependent on the value of Hamming Distance. After matching the binary value of presented iris with the database stored in the server, the result is transmitted to the client.