Mosul University
  • Register
  • Login
  • العربیة

AL-Rafidain Journal of Computer Sciences and Mathematics

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 5, Issue 2
  3. Authors

Current Issue

By Issue

By Subject

Keyword Index

Author Index

Indexing Databases XML

About Journal

Aims and Scope

Editorial Board

Editorial Staff

Publication Ethics

Indexing and Abstracting

Related Links

Peer Review Process

News

Pupil Detection Execution Time Reduction in Iris Recognition System

    Maha A. Hasso Bayez K. Al-Sulaifanie Kaydar M. Quboa

AL-Rafidain Journal of Computer Sciences and Mathematics, 2008, Volume 5, Issue 2, Pages 183-192
10.33899/csmj.2008.163981

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Iris recognition is regarded as the most reliable and accurate biometric identification system available. The work presented in this paper involves improving iris segmentation to reduce execution time. To determine the performance of the iris system two databases of digitized grayscale eye images are used.
The segmentation process in the iris recognition system is used to localize the circular iris and pupil regions, excluding eyelids and eyelashes. New techniques are proposed and implemented for pupil detection. These techniques are mask, profile and the combined profile mask (CPM) technique. The extracted iris region is normalized into a rectangular block with constant dimensions to account for imaging inconsistencies.
The feature extraction technique is based on 2D Gabor filters. The Hamming distance is used to classify the iris templates, and the FAR, FRR and RR are calculated. 
The results of the study proved that the best technique for pupil detection is when using the combined technique. It gives about 100% success rate for pupil detection.
 
Keywords:
    Iris recognition iris 2D Gabor filter Hamming distance method
  • PDF (340 K)
  • XML
(2008). Pupil Detection Execution Time Reduction in Iris Recognition System. AL-Rafidain Journal of Computer Sciences and Mathematics, 5(2), 183-192. doi: 10.33899/csmj.2008.163981
Maha A. Hasso; Bayez K. Al-Sulaifanie; Kaydar M. Quboa. "Pupil Detection Execution Time Reduction in Iris Recognition System". AL-Rafidain Journal of Computer Sciences and Mathematics, 5, 2, 2008, 183-192. doi: 10.33899/csmj.2008.163981
(2008). 'Pupil Detection Execution Time Reduction in Iris Recognition System', AL-Rafidain Journal of Computer Sciences and Mathematics, 5(2), pp. 183-192. doi: 10.33899/csmj.2008.163981
Pupil Detection Execution Time Reduction in Iris Recognition System. AL-Rafidain Journal of Computer Sciences and Mathematics, 2008; 5(2): 183-192. doi: 10.33899/csmj.2008.163981
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 40
  • PDF Download: 33
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap
This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus