A new paradigm on fingerprint classification using directional image

This work presents a simple method to obtain fingerprint classification via directional map smoothing. The program was developed in C++ language, using statistical techniques. The strategy allows to extract attributes of an image and to increase the quality of the process due to the reduction of noi...

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Bibliographic Details
Published inProceedings. XV Brazilian Symposium on Computer Graphics and Image Processing p. 405
Main Authors Farani Costa, S.M., De Oliveira, J.M.V., Fernandez, F.J.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Authorization
Biometrics
Fingerprint recognition
Frequency
Image databases
Image matching
Noise reduction
Smoothing methods
Statistical distributions
Testing
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Summary:This work presents a simple method to obtain fingerprint classification via directional map smoothing. The program was developed in C++ language, using statistical techniques. The strategy allows to extract attributes of an image and to increase the quality of the process due to the reduction of noise, compared with results obtained by other methods. The experimental results obtained by this technique demonstrate that a better directional map is arranged.
ISBN:076951846X
9780769518466
ISSN:1530-1834
2377-5416
DOI:10.1109/SIBGRA.2002.1167177