Iris recognition using multi-resolution transforms

Authors:
S. Arivazhagan;L. Ganesan;T. Srividya
Affiliations:
Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi 626 005, India.;Department of Computer Science Engineering, Alagappa Chettiar College of Engineering & Technology, Karaikudi 623 004, India.;Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi 626 005, India
Venue:
International Journal of Biometrics
Year:
2009

Citing 9
Cited 5

Biometrics: A New Era in Security

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

IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics: Personal Identification in Networked Society

Biometrics: Personal Identification in Networked Society
Iris-based personal authentication using a normalized directional energy feature

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Iris verification using correlation filters

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Iris feature extraction using independent component analysis

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
The double-density dual-tree DWT

IEEE Transactions on Signal Processing
A human identification technique using images of the iris andwavelet transform

IEEE Transactions on Signal Processing
Efficient iris recognition by characterizing key local variations

IEEE Transactions on Image Processing

An intelligent multimodal biometric system for high security access

International Journal of Biometrics
Usability evaluation of voiceprint authentication in automated telephone banking: Sentences versus digits

Interacting with Computers
Coarse indexing of iris database based on iris colour

International Journal of Biometrics
Biometric verification of subjects using saccade eye movements

International Journal of Biometrics
Speed-up multi-stage non-cooperative iris recognition

International Journal of Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Iris recognition is one of the most reliable personal identification methods and it plays a very important role in forensic and civilian applications. In this paper, an efficient multi-resolution based iris recognition system with high performance and less complexity is described. The system includes pre processing iris images, determining the pupil centre, converting the iris boundary to the stretched polar coordinate system, extracting the iris code based on texture analysis using multi-resolution transforms, such as Discrete Wavelet Transform (DWT), Double Density Wavelet Transform (DDWT) and Dual Tree Complex Wavelet Transform (DTCWT). A fast matching scheme based on exclusive OR operation to compute the similarity between a pair of position sequences in iris code is used for classification.