On performance comparison of real and synthetic iris images

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 305-308

  Zuo, Jinyu ^a   Schmid, Natalia A ^a   Chen, Xiaohan ^a  

^a West Virginia University   (United States)

Author keywords

Decision making; Extrapolation; Identification of persons; Image texture analysis

Indexed keywords

ANALYTICAL TOOL; DECISION LEVELS; EXTENSIVE TESTING; GABOR FILTER; IDENTIFICATION OF PERSONS; IMAGE TEXTURE ANALYSIS; IRIS BIOMETRICS; IRIS IMAGE PROCESSING; IRIS IMAGES; MODEL BASED APPROACH; PERFORMANCE COMPARISON; RECOGNITION SYSTEMS; RESAMPLING METHOD; SYNTHETIC AND REAL DATA; SYNTHETIC DATA;

BIOMETRICS; DECISION MAKING; EXTRAPOLATION; IMAGING SYSTEMS; TEXTURES;

IMAGE PROCESSING;

EID: 34548165847     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.313154     Document Type: Conference Paper

References (5)

1. J. Zuo and N. A. Schmid, "A model based, anatomy based method for synthesizing iris images," in Proc. of ICB'06, Hong Kong, China, Jan 2006, pp. 428-435.
2. L. Masek and P. Kovesi, "Matlab source code for a biometric identification system based on iris patterns," The School of Comp. Sc. and Software Eng. The Univ. of Western Australia, 2003.
3. A. Srivastava, "Stochastic models for capturing image variability," IEEE Sig. Proc. Magazine, vol. 19, no. 5, pp. 63-76, Sep 2002.
4. J. Daugman, "How iris recognition works," IEEE Trans. Circuits and Syst. for Video Tech., vol. 14, no. 1, pp. 21-30, Jan 2004.
5. J. Wayman, A. Jain, D. Maltoni, and D. Maio, Biometric Systems: Technology, Design, and Performance Evaluation, Springer, New York, 2004.