A human identification technique using images of the iris and wavelet transform

A new approach for recognizing the iris of the human eye is presented. Zero-crossings of the wavelet transform at various resolution levels are calculated over concentric circles on the iris, and the resulting one-dimensional (1-D) signals are compared with model features using different dissimilari...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 46; no. 4; pp. 1185 - 1188
Main Authors Boles, W.W., Boashash, B.
Format Journal Article
LanguageEnglish
Published IEEE 01.04.1998
Subjects
Data mining
Eyes
Feature extraction
Humans
Image recognition
Iris recognition
Lighting
Signal resolution
Waveguide discontinuities
Wavelet transforms
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Summary:A new approach for recognizing the iris of the human eye is presented. Zero-crossings of the wavelet transform at various resolution levels are calculated over concentric circles on the iris, and the resulting one-dimensional (1-D) signals are compared with model features using different dissimilarity functions.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1053-587X
1941-0476
DOI:10.1109/78.668573