A New Iris Region Segmentation Method

Author

Qi-Chuan Tian

Author_Institution

Coll. of Electron. & Inf. Eng., Taiyuan Univ. of Sci. & Technol., Taiyuan

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

63

Lastpage

67

Abstract

Iris edge detection is a key step for iris boundary localization in iris recognition system, because there are many edge points caused by influences in iris image such as eyelashes, eyelid and light spots, it causes that edge detection and localization are generally computationally expensive. In order to improve the speed of iris boundaries localization, a new edge detection method for iris images is presented in this article. This method use morphological operators and fuzzy membership functions to select edge points by sharpening edge gradient magnitude. The results of simulation show that the method is effectiveness for decreasing invalid iris edge points and improving iris boundaries localization speed.

Keywords

edge detection; fuzzy set theory; image recognition; image segmentation; fuzzy membership functions; iris boundaries localization; iris edge detection; iris region segmentation method; morphological operators; Detectors; Face recognition; Filters; Fingerprint recognition; Fuzzy set theory; Image edge detection; Image processing; Image segmentation; Iris recognition; Pattern recognition; Hough transforms; edge detection; fuzzy membership function; iris boundary localization; iris region segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.426

Filename

4666215