A new unconstrained iris image analysis and segmentation method in biometrics

Authors:
Yu Chen;Malek Adjouadi;Changan Han;Armando Barreto
Affiliations:
Center for Advanced Technology and Education, Electrical & Computer Engineering, Florida International University, Miami, FL;Center for Advanced Technology and Education, Electrical & Computer Engineering, Florida International University, Miami, FL;Center for Advanced Technology and Education, Electrical & Computer Engineering, Florida International University, Miami, FL;Center for Advanced Technology and Education, Electrical & Computer Engineering, Florida International University, Miami, FL
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 10
Cited 1

A Stereo Matching Paradigm Based on the Walsh Transformation

IEEE Transactions on Pattern Analysis and Machine Intelligence
High Confidence Visual Recognition of Persons by a Test of Statistical Independence

IEEE Transactions on Pattern Analysis and Machine Intelligence
Experimental Evaluation of Iris Recognition

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures

IEEE Transactions on Pattern Analysis and Machine Intelligence
A robust segmentation approach to iris recognition based on video

AIPR '08 Proceedings of the 2008 37th IEEE Applied Imagery Pattern Recognition Workshop
UBIRIS: a noisy iris image database

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Exploiting Walsh-based attributes to stereo vision

IEEE Transactions on Signal Processing
Performance analysis of iris-based identification system at the matching score level

IEEE Transactions on Information Forensics and Security
On Techniques for Angle Compensation in Nonideal Iris Recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A similarity measure for stereo feature matching

IEEE Transactions on Image Processing

A computational efficient Iris extraction approach in unconstrained environments

BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Iris recognition remains the most viable and reliable biometric method for security purposes. With the increasing demands in public safety and security, iris identification is becoming a requisite that seeks high accuracy with a fast and reliable outcome. Thus an effective iris recognition method is one that should overcome the rigid constraints imposed during image acquisition, and offer near real time processing. This research introduces a robust and fast (near real time) iris segmentation approach towards less constrained iris recognition. The accuracy is estimated to be slightly over 98% when using 500 randomly selected images from the UBIRIS.v2 partial database.