Fingerprint image enhancement with second derivative Gaussian filter and directional wavelet transform

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dc.contributor.authorSihalath, Keokanlaya
dc.contributor.authorChoomchuay, Somsak
dc.contributor.authorWada, Shatoshi
dc.contributor.authorHamamoto, Kazuhiko
dc.date.accessioned2026-08-06T10:00:20Z
dc.date.available2026-08-06T10:00:20Z
dc.date.issued2010-06-01
dc.description.abstractIn this paper, we propose a technique for enhancing the quality of fingerprint images. Directional wavelet transform and second derivative of a Gaussian filter are applied. The original fingerprint image is decomposed into approximation and detail sub-images. To each sub-dimension a directional filter: second derivative of Gaussian filter is applied for tuning up the image features. The enhanced image is measured for its improvement by testing the success of core point identification where Poincare technique is used. The commonly-well-known database FVC-2004 is used in this study. The obtained results offer clean visualization as well as the increase the success of true core point detection. © 2010 IEEE.
dc.identifier.citation2010 2nd International Conference on Computer Engineering and Applications Iccea 2010, 2, 112-116, 2010
dc.identifier.doi10.1109/ICCEA.2010.178
dc.identifier.other2-s2.0-77952776494
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/3067
dc.source2010 2nd International Conference on Computer Engineering and Applications Iccea 2010
dc.subjectBiometric
dc.subjectFingerprint enhancement
dc.subjectThe second derivative of Gaussian filter
dc.subjectWavelet transform
dc.titleFingerprint image enhancement with second derivative Gaussian filter and directional wavelet transform
dc.typeConference Paper

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