Poster: Optimized Daugman's algorithm for Iris localization

16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2008 - In Co-operation with EUROGRAPHICS, Full Papers

Volumn , Issue , 2008, Pages 5-7

  Mohamed, Hebaishy A ^a  

^a NATIONAL AUTHORITY FOR REMOTE SENSING AND SPACE SCIENCES   (Egypt)

Author keywords

Biometrics; Daugman's algorithm; Human identification; Iris localization

Indexed keywords

DAUGMAN'S METHODS; FEATURE ANALYSIS; HUMAN IDENTIFICATION; ILLUMINATED IMAGES; INTEGRO DIFFERENTIAL OPERATOR; IRIS IDENTIFICATION; IRIS LOCALIZATION; VISIBLE LIGHT;

BIOMETRICS; COMPUTER GRAPHICS; COMPUTER VISION; HOUGH TRANSFORMS; MATHEMATICAL OPERATORS; VISUALIZATION;

ALGORITHMS;

EID: 84861327048     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. J. G. Daugman, "High confidence visual recognition of person by a test of statistical independence," IEEE Trans.PAMI 15, 1148-1161 (1993).
2. J. G. Daugman, "The importance of being random: statistical principles of iris recognition," Patern. Recognition 36, 279-291 (2003).
3. Yong Zhu, Tieniu Tan and Yunhong Wang, "Biometric Personal Identification Based on Iris Patterns" National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, P. R. China, 2003
4. http://www.unisys.com/news/releases/2001/jun/06218031.asp
5. J. G. Daugman, "How iris recognition works," IEEE Trans. Circuits and Syst. for Video Tech. 14(1), 21-30 (2004).