• Facebook
  • Twitter
  • Google Plus
The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Downloads
  • Author Guidelines
  • Publication Policies
  • Metadata Harvesting (OAI2)
  • Digital Archiving

IJACSA

  • About the Journal
  • Call for Papers
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing/Citations
  • Editorial Board
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing/Citations
  • Editorial Board

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors

Intelligent Systems Conference 2018

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference 2018

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future of Information and Communication Conference (FICC) 2018

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC) 2018

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Editorial Board
  • Reviewers
  • Subscribe

Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Multifinger Feature Level Fusion Based Fingerprint Identification

Author 1: Praveen N
Author 2: Tessamma Thomas

Full Text

Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.031114

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 11, 2012.

  • Abstract and Keywords
  • How to Cite this Article

Abstract: Fingerprint based authentication systems are one of the cost-effective biometric authentication techniques employed for personal identification. As the data base population increases, fast identification/recognition algorithms are required with high accuracy. Accuracy can be increased using multimodal evidences collected by multiple biometric traits. In this work, consecutive fingerprint images are taken, global singularities are located using directional field strength and their local orientation vector is formulated with respect to the base line of the finger. Feature level fusion is carried out and a 32 element feature template is obtained. A matching score is formulated for the identification and 100% accuracy was obtained for a database of 300 persons. The polygonal feature vector helps to reduce the size of the feature database from the present 70-100 minutiae features to just 32 features and also a lower matching threshold can be fixed compared to single finger based identification.

Keywords: fingerprint; multimodal biometrics; gradient; orientation field; singularity; matching score.

Praveen N and Tessamma Thomas, “Multifinger Feature Level Fusion Based Fingerprint Identification ” International Journal of Advanced Computer Science and Applications(IJACSA), 3(11), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031114


The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Your Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help &Support

  • Contact Us
  • FAQ's
  • Search Publications
  • Privacy Policy
  • Facebook
  • Twitter
  • Google Plus

© 2015 The Science and Information (SAI) Organization Limited. Registered in England and Wales. Company Number 8933205. All rights reserved. thesai.org