WebSite Logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS).
  2. 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications
  3. Feature point validation for improved retina recognition
Loading...

Please wait, while we are loading the content...

2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings
2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications
Copyright page
Table of contents
Front matters
FAME: Face Authentication for Mobile Encounter
Creating synthetic IrisCodes to feed biometrics experiments
Feature point validation for improved retina recognition
Temporal and spectral features of single lead ECG for human identification
Influence of QT correction on temporal and amplitude features for human identification via ECG
A preliminary study on continuous authentication methods for photoplethysmographic biometrics
Exploiting cohorts information in multibiometric identification systems via graph-based fusion
Missing data estimation in multi-biometric identification and verification
Fingerprint liveness detection based on Weber Local image Descriptor
Author index
2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings
2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS)
2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications

Similar Documents

...
Retinal recognition: Personal identification using blood vessels

Article

...
Hybrid Iris and Retina recognition for biometrics

Article

...
A novel method for person authentication using retinal images

Article

...
Fast automatic retinal vessel segmentation and vascular landmarks extraction method for biometric applications

Article

...
Fingerprint pore characteristics for liveness detection

Article

...
An efficient retina pattern recognition algorithm (RPRA) towards human identification

Article

...
Ocular detection for biometric recognition

Article

...
Retinal Identification

Article

...
A new tool to connect blood vessels in fundus retinal images

Article

Feature point validation for improved retina recognition

Content Provider IEEE Xplore Digital Library
Author Fatima, J. Syed, A.M. Akram, M.U.
Copyright Year 2013
Description Author affiliation: Dept. of Comput. & Software Eng., Bahria Univ., Islamabad, Pakistan (Fatima, J.; Syed, A.M.; Akram, M.U.)
Abstract The retinal recognition technique is yet another step in biometrics, as a very rare but the most accurate authentication method. It contains the distinct property of exceptionally very low false acceptance and false rejection rates. The performance of any biometrics based identification system is enormously affected by its correct matching rate. In this paper, we present a new windowing technique for feature point validation in order to improve the accuracy of retinal vascular pattern recognition. The proposed method applies a windowing technique on skeleton vascular pattern to eliminate false feature points which appear due to vessel breakages, short vessels and spurs. The testing of the proposed methodology is performed using two retinal image databases i.e. VARIA and RIDB. Experimental analysis of given approach shows a significant decrease of false feature points.
Sponsorship IEEE
Starting Page 13
Ending Page 16
File Size 1583201
Page Count 4
File Format PDF
e-ISBN 9781479906260
DOI 10.1109/BIOMS.2013.6656142
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2013-09-09
Publisher Place Italy
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Image segmentation Biometrics (access control) Bifurcation Blood vessels Retina Feature extraction Biomedical imaging
Content Type Text
Resource Type Article
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
  • Chat with Us
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
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
I will try my best to help you...
Cite this Content
Loading...