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Author Guest, R. ♦ Miguel-Hurtado, O.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data ♦ Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Fingerprint recognition ♦ Handwriting recognition ♦ Educational institutions ♦ Gabor filters ♦ Training ♦ Biomedical imaging ♦ Matched filters ♦ mult-classifier ♦ biometrics ♦ signature ♦ algorithms ♦ fingerprint
Abstract A method designed for matching biometric fingerprint images is applied to the static/image-based ”off-line” human signature modality. Using a publically available signature dataset, the verification performance is compared against three existing static methods. Furthermore, verification is assessed using all four methods within a multi-classifier system. The results show the application of the fingerprint method leads to a comparable performance with existing methods and a significant improvement is achieved within a multi-classifier configuration.
Description Author affiliation: Dpt. Electronic Technology Carlos III University of Madrid Leganes, Spain (Miguel-Hurtado, O.) || School of Engineering and Digital Arts, University of Kent, Canterbury, UK (Guest, R.)
ISBN 9781457709029
ISSN 21530742
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-10-18
Publisher Place Spain
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457709036
Size (in Bytes) 539.98 kB
Page Count 4
Starting Page 1
Ending Page 4


Source: IEEE Xplore Digital Library