Human perceptual categorization of iris texture patterns

13Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

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. © 2010 IEEE.

Cite

CITATION STYLE

APA

Stark, L., Bowyer, K. W., & Siena, S. (2010). Human perceptual categorization of iris texture patterns. In IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010. https://doi.org/10.1109/BTAS.2010.5634480

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free