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
- 학술저널
- 저자정보
- 발행연도
- 2005.6
- 수록면
- 357 - 362 (6page)
이용수
초록· 키워드
오류제보하기
Iris recognition system is the one of the most reliable biometrics 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.
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.
목차
Abstract
1. Introduction
2. Determine the center and the outer boundary of the Iris and the pupillary boundary
3. Transform the localized iris‘s part and wavelet transformation
4. Results and Discussions
5. Conclusion
References
저자소개
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UCI(KEPA) : I410-ECN-0101-2009-028-014827046