Use of Artificial Color filtering to improve iris recognition and searching

Authors:
Jian Fu;H. John Caulfield;Seong-Moo Yoo;Venkata Atluri
Affiliations:
Department of Computer Science, Alabama A&M University, 4900 Meridian Street, Normal, AL 35762, United States;Alabama A&M University Research Institute, P.O. Box 313, Normal, AL 35762, United States;Department of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL 35899, United States;Department of Computer Science, Alabama A&M University, 4900 Meridian Street, Normal, AL 35762, United States
Venue:
Pattern Recognition Letters
Year:
2005

Citing 4
Cited 10

High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial color image logic

Information Sciences—Informatics and Computer Science: An International Journal
Exploring margin setting for good generalization in multiple class discrimination

Pattern Recognition
A human identification technique using images of the iris andwavelet transform

IEEE Transactions on Signal Processing

Designing spectral sensitivity curves for use with Artificial Color

Pattern Recognition
Making a smarter color camera

Image and Vision Computing
Image understanding for iris biometrics: A survey

Computer Vision and Image Understanding
Fuzzy Aggregation with Artificial Color filters

Information Sciences: an International Journal
An iris retrieval technique based on color and texture

Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Coarse indexing of iris database based on iris colour

International Journal of Biometrics
An efficient color and texture based iris image retrieval technique

Expert Systems with Applications: An International Journal
Noisy iris image matching by using multiple cues

Pattern Recognition Letters
Coarse Iris classification by learned visual dictionary

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
A review of information fusion techniques employed in iris recognition systems

International Journal of Advanced Intelligence Paradigms

Quantified Score

Hi-index	0.10

Visualization

Abstract

Iris recognition and searching are attractive in biometrics for many reasons. The spatial patterns have been studied and recognized effectively for several years. They are more complex than fingerprints. We suggest here that the relatively new field of Artificial Color filtering can provide an orthogonal discriminant to the spatial pattern discriminant. We also show how to combine results from the two discriminants in such a way as to improve performance of the combined system over either part-something that has been troubling until now.