NDLI: Ocular surface vasculature recognition using curvelet transform

Content Provider	IET Digital Library
Author	Tankasala, Sriram Pavan Doynov, Plamen Chrihalmeanu, Simona Derakhshani, Reza
Abstract	The vascular patterns seen on the white of the eye, mainly in conjunctival and episcleral layers, are termed as ocular surface vasculature (OSV). OSV is visible in images captured with commercial RGB cameras, and its unique texture can be used for biometric recognition. This study demonstrates the capabilities of curvelet transform for OSV feature extraction. Non-linear feature enhancement and feature mapping in curvelet domain are shown to be effective in differentiating OSV texture. Linear discriminant analysis and similarity metrics are used for matching. A match-score level fusion is used across multiple gaze directions for both eyes. Using a multi-distance dataset of 50 volunteers, where eye images were acquired from 30, 150, and 250 cm using a dSLR, a best equal error rate (EER) of 0.2% is obtained. Using a second dataset of 40 volunteers acquired from 150 cm using a dSLR, a best EER of 3.1% is obtained. For a 216-participant dataset of ocular images acquired using cellular phones from close proximity, an EER of 0.9% is obtained. The proposed methodology was also tested on the publicly available UBIRIS V1 dataset, yielding an EER of 0.7%. The experimental results support the theoretically formulated advantages of the curvelet transform and its capability in successful extraction of curved structures when applied to OSV patterns.
Starting Page	97
Ending Page	107
Page Count	11
ISSN	20474938
Volume Number	6
e-ISSN	20474946
Issue Number	Issue 2, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/6/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2015.0091
Journal	IET Biometrics
Publisher Date	2016-10-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biometric Recognition Cellular Phones Cellular Radio Close Proximity Commercial RGB Cameras Computer Vision And Image Processing Technique Conjunctival Layer Curvelet Transform Curvelet Transforms DSLR EER Episcleral Layer Equal Error Rate Eye Feature Extraction Feature Mapping Image Colour Analysis Image Enhancement Image Fusion Image Matching Image Recognition Image Sonsor Image Texture Integral Transforms Linear Discriminant Analysis Match-score Level Fusion Multidistance Dataset Multiple Gaze Directions Nonlinear Feature Enhancement Object Recognition Ocular Surface Vasculature Recognition OSV Feature Extraction OSV Recognition OSV Texture Publicly Available UBIRIS V1 Dataset Sensor Fusion Similarity Metrics Statistical Analysis Statistics Vascular Pattern Vein Recognition
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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

PLT-based spectral features for texture image retrieval

Edge texture feature extraction and expression recognition based on curvelet

Pose-invariant face recognition using curvelet neural network

Facial feature extraction and recognition based on Curvelet transform and SVD

Extraction of curvelet based RLBP features for representation of facial expression

New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features

Face recognition using curvelet based PCA

Plant leaf species identification using Curvelet transform

Curvelet texture based face recognition using Principal Component Analysis

Ocular surface vasculature recognition using curvelet transform

Similar Documents

PLT-based spectral features for texture image retrieval

Edge texture feature extraction and expression recognition based on curvelet

Pose-invariant face recognition using curvelet neural network

Facial feature extraction and recognition based on Curvelet transform and SVD

Extraction of curvelet based RLBP features for representation of facial expression

New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features

Face recognition using curvelet based PCA

Plant leaf species identification using Curvelet transform

Curvelet texture based face recognition using Principal Component Analysis

Ocular surface vasculature recognition using curvelet transform