NDLI: Iris pattern recognition using biorthogonal Wavelet Packet Analysis

Content Provider	IEEE Xplore Digital Library
Author	Hariprasath, S. Venkatasubramaniam, S.
Copyright Year	2010
Description	Author affiliation: Department of CSE, Saranathan College of Engineering, Trichy, India (Venkatasubramaniam, S.) \|\| Department of ECE, Saranathan College of Engineering, Trichy, India (Hariprasath, S.)
Abstract	A new iris recognition system based on Wavelet Packet Analysis is described. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris is encoded into a compact sequence of 2-D wavelet packet coefficients, which generate an “iris code”. Two different iris codes are compared using exclusively OR comparisons. In this paper, we propose a novel multi-resolution approach based on Wavelet Packet Transform (WPT) for iris texture analysis and recognition. The development of this approach is motivated by the observation that dominant frequencies of iris texture are located in the low and middle frequency channels. With an adaptive threshold, WPT sub images coefficients are quantized into 1, 0 or −1 as iris signature. This signature presents the local information of different irises. By using different wavelet packets the size of the iris signature of code attained was 1080 bits. The signature of the new iris pattern is compared against the stored pattern after computing the signature of new iris pattern. Identification is performed by computing the hamming distance.
Starting Page	830
Ending Page	834
File Size	209246
Page Count	5
File Format	PDF
ISBN	9781424477692
e-ISBN	9781424477708
DOI	10.1109/ICCCCT.2010.5670727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Iris Iris pattern Feature extraction Wavelet analysis Wavelet Packet Transform Wavelet packets Biorthogonal wavelet packets Iris recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Iris feature extraction and recognition using Wavelet Packet Analysis

Biometric personal identification based on iris pattern recognition using Wavelet Packet Transform

Iris features extraction using wave atoms

Partial iris image recognition using wavelet based texture features

Iris Feature Extraction Using 2D Phase Congruency

Integration of wavelet packet decomposition and random secret in iris verification

A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition

Iris-Based Person Identification Using Gabor Wavelets and Moments

Invariant Radon-Wavelet Packet Signatures for Pattern Recognition

Iris pattern recognition using biorthogonal Wavelet Packet Analysis

Similar Documents

Iris feature extraction and recognition using Wavelet Packet Analysis

Biometric personal identification based on iris pattern recognition using Wavelet Packet Transform

Iris features extraction using wave atoms

Partial iris image recognition using wavelet based texture features

Iris Feature Extraction Using 2D Phase Congruency

Integration of wavelet packet decomposition and random secret in iris verification

A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition

Iris-Based Person Identification Using Gabor Wavelets and Moments

Invariant Radon-Wavelet Packet Signatures for Pattern Recognition

Iris pattern recognition using biorthogonal Wavelet Packet Analysis