Title :
Enhancement pupil isolation method in iris recognition
Author :
Almisreb, Ali Abd ; Tahir, Nooritawati Md ; Ismail, Adzrool Idzwan ; Abdullah, Ramli
Author_Institution :
Fac. of Math. & Comput. Sci., Univ. Teknol. Mara, Shah Alam, Malaysia
Abstract :
Iris recognition system is until now impractical to implement in real time environment due to the unfeasible processing time. Therefore, solutions are required to enhance the performance of an iris recognition system. Since pupil segmentation is one of the important tasks in iris localization procedure, in this paper, a technique to isolate the pupil boundary is discussed. We have proposed a new thresholding method based on the eye color map. This proposed method is experimentally applied to the CASIA database iris images and 100% accuracy is attained. Furthermore, the proposed method may be utilized in the real time iris recognition scenario due to the superb processing time of pupil boundary segmentation without any pre-filters.
Keywords :
image colour analysis; image segmentation; iris recognition; visual databases; CASIA database iris image; enhancement pupil isolation method; eye color map; iris localization procedure; pupil boundary; pupil boundary segmentation processing time; real time iris recognition; thresholding method; Accuracy; Conferences; Databases; Image color analysis; Image edge detection; Iris recognition; Real time systems; Enhancing; Iris recognition; Pupil; Thresholding method;
Conference_Titel :
System Engineering and Technology (ICSET), 2011 IEEE International Conference on
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4577-1256-2
DOI :
10.1109/ICSEngT.2011.5993409