Title :
Fast iris localization in recognition systems
Author :
Yazdanpanah, Mina ; Amini, E.
Author_Institution :
Iran Univ. of Sci. & Technol. IUST, Tehran, Iran
Abstract :
One of the basic steps in iris-based human identification is the exact localization of the iris. Typically, the Hough transform is used for this purpose. Hough transform is very sensitive to the noise and the exact circular iris shape. Our goal is to present a stable and fast method for accurate iris localization within the eye image. In the presented method, the use of a recursive algorithm is suggested which is simpler than Hough transform. The implementation of this method in applications with very short response time appears very appropriate.
Keywords :
Hough transforms; biometrics (access control); eye; image recognition; recursive estimation; Hough transform; eye image; fast iris localization; image processing; iris-based human identification; recognition system; recursive algorithm; short response time; Acoustic reflection; Eyelashes; Filters; Histograms; Image converters; Image databases; Image recognition; Iris; Noise reduction; Optical reflection; hough transform; image processing; iris; recognition;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3352-0
DOI :
10.1109/IMTC.2009.5168598
