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Fingerprint recognition system using hybrid matching techniques

Youssif, A.A.A., Chowdhury, Morshed, Ray, Sid and Nafaa, H.Y. 2007, Fingerprint recognition system using hybrid matching techniques, in 6th IEEE/ACIS International Conference on Computer and Information Science : (ICIS 2007) in conjunction with 1st IEEE/ACIS International Workshop on e-Activity (IWEA 2007) : proceedings : 11-13 July, 2007, Melbourne, Australia, IEEE Xplore, Piscataway, N.J., pp. 234-240.

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Title Fingerprint recognition system using hybrid matching techniques
Author(s) Youssif, A.A.A.
Chowdhury, Morshed
Ray, Sid
Nafaa, H.Y.
Conference name International Conference on Computer and Information Science (6th : 2007 : Melbourne, Australia)
Conference location Melbourne, Australia
Conference dates 11-13 July 2007
Title of proceedings 6th IEEE/ACIS International Conference on Computer and Information Science : (ICIS 2007) in conjunction with 1st IEEE/ACIS International Workshop on e-Activity (IWEA 2007) : proceedings : 11-13 July, 2007, Melbourne, Australia
Editor(s) Lee, Roger
Chowdhury, Morshed
Ray, Sid
Lee, Thuy
Publication date 2007
Conference series International Conference on Computer and Information Science
Start page 234
End page 240
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Keyword(s) biometrics
feature extraction
fingerprint
fingerprint matching
fingerprint verification
identification
Summary With an increasing emphasis on the emerging automatic person identification application, biometrics based, especially fingerprint-based identification, is receiving a lot of attention. This research developed an automatic fingerprint recognition system (AFRS) based on a hybrid between minutiae and correlation based techniques to represent and to match fingerprint; it improved each technique individually. It was noticed that, in the hybrid approach, as a result of an improvement of minutiae extraction algorithm in post-process phase that combines the two algorithms, the performance of the minutia algorithm improved. An improvement in the ridge algorithm that used centre point in fingerprint instead of reference point was also observed. Experiments indicate that the hybrid technique performs much better than each algorithm individually.
ISBN 0769528414
9780769528410
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2007 IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008045

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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