Design method of video based iris recognition system (V-IRS)

Asama Kuder Nseaf, Azizah Jaafar, Haroon Rashid, Riza Sulaiman, Rahmita Wirza O K Rahmat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Reliable person recognition is crucial in all modern-day processes. Biometric systems have been arrayed by public and private organizations. Iris has been used as the most trusted physical attribute of human being as it is accurate, highly reliable, unchangeable and unique. Iris recognition is the identification for an individual based on iris features. In the past, many methods were used to enhance the efficiency of iris recognition systems (IRS). However, currently, the majority of existing systems substantially limit the position and motion of the subjects during the recognition process. This is largely due to the image acquisition process, rather than the specific pattern-matching algorithm applied during the recognition process. Therefore, the current study proposes an accurate method for identification of people using iris recognition system based on video streaming (V-IRS). The results of the study are expected to reveal that iris recognition on the move is an accurate and effective method to identifying people. The study concludes by highlighting the importance of the iris recognition system based on the subject moving.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages526-538
Number of pages13
Volume8237 LNCS
DOIs
Publication statusPublished - 2013
Event3rd International Visual Informatics Conference, IVIC 2013 - Selangor
Duration: 13 Nov 201315 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8237 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Visual Informatics Conference, IVIC 2013
CitySelangor
Period13/11/1315/11/13

Fingerprint

Iris Recognition
Video streaming
Pattern matching
Image acquisition
Biometrics
Design Method
Iris
Video Streaming
Image Acquisition
Pattern Matching
Matching Algorithm
Person
Attribute
Motion

Keywords

  • Accuracy
  • Biometric Technology
  • Features
  • Iris Recognition System

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Nseaf, A. K., Jaafar, A., Rashid, H., Sulaiman, R., & Rahmat, R. W. O. K. (2013). Design method of video based iris recognition system (V-IRS). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8237 LNCS, pp. 526-538). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS). https://doi.org/10.1007/978-3-319-02958-0_48

Design method of video based iris recognition system (V-IRS). / Nseaf, Asama Kuder; Jaafar, Azizah; Rashid, Haroon; Sulaiman, Riza; Rahmat, Rahmita Wirza O K.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. p. 526-538 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nseaf, AK, Jaafar, A, Rashid, H, Sulaiman, R & Rahmat, RWOK 2013, Design method of video based iris recognition system (V-IRS). in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8237 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8237 LNCS, pp. 526-538, 3rd International Visual Informatics Conference, IVIC 2013, Selangor, 13/11/13. https://doi.org/10.1007/978-3-319-02958-0_48
Nseaf AK, Jaafar A, Rashid H, Sulaiman R, Rahmat RWOK. Design method of video based iris recognition system (V-IRS). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS. 2013. p. 526-538. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-02958-0_48
Nseaf, Asama Kuder ; Jaafar, Azizah ; Rashid, Haroon ; Sulaiman, Riza ; Rahmat, Rahmita Wirza O K. / Design method of video based iris recognition system (V-IRS). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. pp. 526-538 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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