A novel image alignment and a fast efficient localized Euclidean distance minutia matching algorithm for fingerprint recognition system
Joint Authors
Palanichamy, Jaganathan
Marimuthu, Rajinikannan
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6B (31 Dec. 2016), pp.1061-1067, 7 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Topics
Abstract EN
A fingerprint recognition system involves several steps.
In such recognition systems, the matching of unequal number of minutia features is the most important and challenging step i-n fingerprint based bio-metrics recognition systems.
In this paper, we used clustering based fingerprint image rotation algorithm, to improve the performance of the fingerprint recognition system and proposed a Localized Euclidean Distance Minutia Matching (LEDJMM) algorithm for matching, which will give better results while comparing minutia sets of different sizes as well as in slightly different orientation during the matching process.
The experimental results on the fingerprint i-mage database demonstrate that the proposed methods can achieve much better minutia detection as well as better matching with improved performance in terms of accuracy.
American Psychological Association (APA)
Palanichamy, Jaganathan& Marimuthu, Rajinikannan. 2016. A novel image alignment and a fast efficient localized Euclidean distance minutia matching algorithm for fingerprint recognition system. The International Arab Journal of Information Technology،Vol. 13, no. 6B, pp.1061-1067.
https://search.emarefa.net/detail/BIM-655266
Modern Language Association (MLA)
Palanichamy, Jaganathan& Marimuthu, Rajinikannan. A novel image alignment and a fast efficient localized Euclidean distance minutia matching algorithm for fingerprint recognition system. The International Arab Journal of Information Technology Vol. 13, no. 6B (2016), pp.1061-1067.
https://search.emarefa.net/detail/BIM-655266
American Medical Association (AMA)
Palanichamy, Jaganathan& Marimuthu, Rajinikannan. A novel image alignment and a fast efficient localized Euclidean distance minutia matching algorithm for fingerprint recognition system. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6B, pp.1061-1067.
https://search.emarefa.net/detail/BIM-655266
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-655266