Title :
A novel iris database indexing method using the iris color
Author :
Puhan, N.B. ; Sudha, N.
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Selangor
Abstract :
In a very large iris database, the design of an effective iris indexing method reduces the computational complexity of feature matching process. This paper presents a new iris indexing technique based on the iris color for noisy iris images. The proposed method using the chrominance components achieves high indexing performance in defocused, reflection-contained and eyelid-occluded iris images. The performance measures such as the hit rate and the penetration rate computed on a recently created noisy iris database, namely UBIRIS (Proenca and Alexandre, 2005), show the effectiveness of the iris color to index very large iris databases.
Keywords :
database indexing; feature extraction; image colour analysis; image matching; very large databases; visual databases; UBIRIS; chrominance components; computational complexity; eyelid-occluded iris images; feature matching; iris color; iris database indexing; noisy iris images; reflection-contained iris images; very large iris database; Colored noise; Computational complexity; Data security; Feature extraction; Gabor filters; Image databases; Image segmentation; Indexing; Iris recognition; Spatial databases;
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
DOI :
10.1109/ICIEA.2008.4582847