DocumentCode
2148958
Title
Ordinal Region-Based Representations for Iris Recognition
Author
Teo, C.C. ; Neo, H.F. ; Ewe, Hong Tat
Author_Institution
Fac. of Inf. Sci. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
fYear
2010
fDate
7-10 Aug. 2010
Firstpage
147
Lastpage
150
Abstract
This paper presents local ordinal measures for iris recognition. It is inspired by the mechanism of response properties in neuroscience. The ordinal relationships can preserve the stability among a group of neighboring regions against noise in a given iris image. In this scheme, the iris texture is represented by a set of similarities and dissimilarities across neighboring regions. The experiment results show that proposed simple algorithm can achieve a reasonable recognition rate as compared to existing complex algorithms.
Keywords
image representation; iris recognition; iris image; iris recognition; iris texture; neuroscience; ordinal region based representation; Biological information theory; Brightness; Databases; Feature extraction; Iris; Iris recognition; iris recognition; ordinal measures;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics, Imaging and Visualization (CGIV), 2010 Seventh International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-7840-8
Type
conf
DOI
10.1109/CGIV.2010.30
Filename
5576208
Link To Document