Title :
A method for the identification of inaccuracies in pupil segmentation
Author :
Proença, Hugo ; Alexandre, Luís A.
Author_Institution :
Dept. Informatics, Univ. da Beira Interior, Covilha, Portugal
Abstract :
In this paper we analyze the relationship between the accuracy of the segmentation algorithm and the error rates of typical iris recognition systems. We selected 1000 images from the UBIRIS database that the segmentation algorithm can accurately segment and artificially introduced segmentation inaccuracies. We repeated the recognition tests and concluded about the strong relationship between the errors in the pupil segmentation and the overall false reject rate. Based on this fact, we propose a method to identify these inaccuracies.
Keywords :
biometrics (access control); eye; face recognition; feature extraction; image segmentation; UBIRIS database; biometrics; image extraction; image segmentation; iris recognition system; pupil segmentation; Algorithm design and analysis; Biometrics; Error analysis; Feature extraction; Image databases; Image processing; Image segmentation; Iris recognition; Security; Testing; biometrics; image extraction; image segmentation; iris recognition.;
Conference_Titel :
Availability, Reliability and Security, 2006. ARES 2006. The First International Conference on
Print_ISBN :
0-7695-2567-9
DOI :
10.1109/ARES.2006.9
