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
- 학술대회자료
- 저자정보
- 발행연도
- 2004.10
- 수록면
- 553 - 559 (7page)
이용수
초록· 키워드
오류제보하기
In todays security industry, personal identification is also based on biometric. Biometric identification is performed basing on the measurement and comparison of physiological and behavioral characteristics, Biometric for recognition includes voice dynamics, signature dynamics, hand geometry, fingerprint, iris, etc.
Iris can serve as a kind of living passport or living password. Iris recognition system is the one of the most reliable biometrics recognition system. This is applied to client/server system such as the electronic commerce and electronic banking from stand-alone system or networks, ATMs, etc.
A new algorithm using nonlinear function in recognition process is proposed in this paper.
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 transform into polar coordinates. After performing three times Wavelet transformation, normalization was done using 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 compare 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 server, the comparing process compares the binary value of presented iris to the reference value in the database. 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.
Iris can serve as a kind of living passport or living password. Iris recognition system is the one of the most reliable biometrics recognition system. This is applied to client/server system such as the electronic commerce and electronic banking from stand-alone system or networks, ATMs, etc.
A new algorithm using nonlinear function in recognition process is proposed in this paper.
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 transform into polar coordinates. After performing three times Wavelet transformation, normalization was done using 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 compare 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 server, the comparing process compares the binary value of presented iris to the reference value in the database. 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
Aknowledgement
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A study on Iris Recognition using Wavelet Transformation and Nonlinear Function
한국지능시스템학회 논문지
2005 .06
-
The Method of Iris Region Extraction for Iris Recognition
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2003 .07
-
Iris Localization and Extraction of Effective Region for Human IRIS Recognition
Proceedings of KIIT Conference
2011 .05
-
Identification Algorithm for Iris Recognition using different Intensity Values
Proceedings of KIIT Conference
2011 .05
-
A Study on Fake Iris Detection based on the Reflectance of the Iris to the Sclera for Iris Recognition
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2005 .07
-
홍채인식 시스템에 관한 기존 연구 분석
대한전자공학회 학술대회
2017 .06
-
Iris Segmentation and Recognition
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2002 .12
-
Wavelet-based Feature Extraction Algorithm for an Iris Recognition System
JIPS(Journal of Information Processing Systems)
2011 .01
-
Analysis and comparison of Daugman algorithm and Hough transformation for iris recognition
한국정보과학회 학술발표논문집
2019 .06
-
Human Iris Recognition using Wavelet Transform and Neural Network
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2003 .12
-
A Novel and Efficient Feature Extraction Method for Iris Recognition
[ETRI] ETRI Journal
2007 .06
-
Human Iris biometric Authentication Based on Statistical Linear Correlation Coefficient
Proceedings of KIIT Conference
2011 .05
-
Biometric-Based Iris Pattern Recognition Algorithm for Identity Authentication and Verification
Proceedings of KIIT Conference
2011 .05
-
Iris Recognition Using Ridgelets
JIPS(Journal of Information Processing Systems)
2012 .01
-
퍼지볼트 기반의 암호 키 생성을 위한 불변 홍채코드 추출
대한전자공학회 학술대회
2006 .06
-
Server/Client 기반 홍체 인식 시스템
한국통신학회 학술대회논문집
2003 .11
-
워터마크를 이용한 위조 홍채 영상 식별
한국컴퓨터정보학회논문지
2018 .04
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2009-028-015067100