Title :
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
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;
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
DOI :
10.1109/BTAS.2010.5634480
