FLEXIBLE IMAGE SEGMENTATION AND QUALITY ASSESSMENT FOR REAL-TIME IRIS RECOGNITION

被引：2
|
作者：
Mottalli, Marcelo [1 ]
Mejail, Marta [1 ]
Jacobo-Berlles, Julio [1 ]
机构：
[1] Univ Buenos Aires, Dept Computac, RA-1053 Buenos Aires, DF, Argentina
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
image segmentation; real time systems; image edge analysis;
D O I：
10.1109/ICIP.2009.5414530
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The human iris has proved to be one of the most reliable biometric features for the identification of individuals. Real-time iris recognition requires high quality images that provide enough details about the iris texture and algorithms to analyze and process the images at the highest possible speed. In this work, an extension to the classical circular model for the pupil and iris using flexible contours is provided. Then, a method for assessing the quality of the iris images in real-time based on the segmentation results is introduced. Experimental results are presented, and we conclude that the new methods improve the recognition rate, achieving a 100% correct recognition rate on the CASIA iris database, while being suitable for a real-time iris recognition camera system.
引用
收藏
页码：1941 / 1944
页数：4
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