NDLI: A fingerprint verification system using minutiae and wavelet based features

Content Provider	IEEE Xplore Digital Library
Author	Khan, U.M. Khan, S.A. Ejaz, N. ur Rehman, R.
Copyright Year	2009
Description	Author affiliation: Department of Computer Sciences, Wah Campus, CIIT, Wah Cantt., Pakistan (ur Rehman, R.) \|\| Department of Computer Engineering, College of E&ME, NUST, Islamabad, Pakistan (Khan, U.M.; Khan, S.A.; Ejaz, N.)
Abstract	Minutiae based approach is most widely used for fingerprint matching. Minutiae can be extracted either directly from gray-scaled image or from a thinned image. During matching, finding an exact match depends on the best matched minutiae pairs from both images. For matching stage, different kinds of features are extracted from extracted minutiae. The structure of some features allows us to have rotation and translation invariance. Minutiae based approach also has some drawbacks because it requires very lengthy preprocessing operations for minutiae extraction and still can result in false minutiae. Previously, to overcome this problem some kind of post-processing is used, which also eliminates valid minutiae along with false ones. So eventually, we can say that the strength of matching algorithm depends on the strength of extracted features from fingerprint. In our research, we have presented a new approach which uses wavelet based features which are fused with minutiae based features for matching purpose. In particular, we find that among the algorithms we studied, our proposed work have significant effects on overall performance. Experiment results show that using these features have made the matching process much more accurate even in the presence of false minutiae.
Starting Page	291
Ending Page	296
File Size	399189
Page Count	6
File Format	PDF
ISBN	9781424456307
DOI	10.1109/ICET.2009.5353157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-19
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Fingerprint Digital images Fingerprint recognition Bifurcation Educational institutions structure matching Verification Security Data mining Image quality Wavelet Minutiae Feature extraction Safety
Content Type	Text
Resource Type	Article

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