Fingerprint Recognition System Using Hybrid Matching Techniques

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 c...

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Bibliographic Details
Published in:	6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007) pp. 234 - 240
Main Authors:	Youssif, A.A.A., Chowdhury, M.U., Ray, S., Nafaa, H.Y.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-07-2007
Subjects:	Authentication Biometrics Feature extraction fingerprint fingerprint matching Fingerprint recognition fingerprint verification Gabor filters Humans identification Nonlinear distortion Pixel Smart cards
Online Access:	Get full text
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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
DOI:	10.1109/ICIS.2007.101