DocumentCode :
2395420
Title :
Fast algorithm and application of Hough transform in iris segmentation
Author :
Qi-Chuan Tian ; Pan, Quan ; Cheng, Yong-mei ; Gao, Quan-xue
Author_Institution :
Sch. of Autom. Control, Northwestern Polytech. Univ., Xi´´an, China
Volume :
7
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
3977
Abstract :
Hough transform is a common algorithm used to detect geometry shape of objects in computer image processing, some points satisfied lines, circles and other curves can be detected easily by using Hough transform in image. In iris recognition system, both the inner boundary and the outer boundary of a typical iris can approximately be taken as circles, so the two circles of iris can be obtained by using Hough transform. In this paper, Hough transform algorithm is introduced and is adopted in iris segmentation. A modified fast algorithm is presented to solving low speed of Hough transform. Simulations and research results show that Hough transforms are satisfied in iris segmentation.
Keywords :
Hough transforms; biometrics (access control); computer vision; image recognition; image segmentation; object detection; Hough transform algorithm; computer image processing; geometry shape detection; iris recognition system; iris segmentation; modified fast algorithm; object detection; personal identity verification; Automatic control; Image edge detection; Image segmentation; Iris recognition; Machinery; Noise shaping; Object detection; Pixel; Shape; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1384533
Filename :
1384533
Link To Document :
بازگشت