Human perceptual categorization of iris texture patterns

Author

Stark, L. ; Bowyer, K.W. ; Siena, S.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of the Pacific, Stockton, CA, USA

fYear

2010

fDate

27-29 Sept. 2010

Firstpage

1

Lastpage

7

Abstract

We report on an experiment in which observers were asked to browse a set of 100 iris images and group them into categories based on similarity of overall texture appearance. Results indicate that there is a natural categorization of iris images into a small number of high-level categories, and then also into subcategories. Also, the categorization reflects the Caucasian / Asian ethnicity of the person. This iris texture categorization has potential application in, for example, creating an indexing algorithm to speed search of an iris database and / or determining soft biometric traits of a person.

Keywords

image classification; image texture; iris recognition; visual perception; Asian ethnicity; Caucasian ethnicity; human perceptual categorization; indexing algorithm; iris texture pattern analysis; soft biometric traits; Accuracy; Computer science; Humans; Indexing; Iris; Iris recognition; Iris biometrics; texture analysis; texture categories;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

978-1-4244-7581-0

Electronic_ISBN

978-1-4244-7580-3

Type

conf

DOI

10.1109/BTAS.2010.5634480

Filename

5634480