Reliable iris localization method with application to iris recognition in near infrared light

Proceedings of the International Conference on Mixed Design of Integrated Circuits and Systems, MIXDES 2006

Volumn , Issue , 2006, Pages 684-687

  Grabowski, K ^a   Sankowski, W ^a   Zubert, M ^a   Napieralska, M ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Biometric identification; Image processing; Iris localization; Near infrared light

Indexed keywords

ALGORITHMS; BIOMETRICS; INFRARED RADIATION; MICROELECTRONICS; NEAR INFRARED SPECTROSCOPY;

BIOMETRIC IDENTIFICATION; HISTOGRAM ANALYSIS; IRIS LOCALIZATION; NEAR INFRARED LIGHT;

IMAGE RECOGNITION;

EID: 41549166991     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. J. Daugman, "The Importance of Being Random: Statistical Principles of Iris Recognition", Pattern Recognition, vol. 36, no. 2, pp. 279-291,2003
2. J. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence", Trans. Pattern Analysis and Machine Intelligence, pp. 1148-1161, 1993
3. J. Daugman, "Introduction to Iris Recognition" http://www.cl.cam.ac.uk/users/jgd1000/iris_recognition.html
4. C. Teo and H. Ewe, "An Efficient One-Dimensional Fractal Analysis for Iris Recognition", Proceedings of the 13-th WSCG International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp. 157-160, 2005
5. University of Bath Iris Image Database, http://www.bath.ac.uk/elec-eng/ pages/sipg/irisweb/database.htm#
6. CASIA, www.sinobiometrics.com