Impact of signature legibility and signature type in off-line signature verification
2007 (English)In: Biometrics Symposium, 2007: [Baltimore, Maryland]: 11-13 Sept. 2007, Piscataway, N.J.: IEEE Press, 2007, Vol. 1, 1-6 p.Conference paper (Refereed)
The performance of two popular approaches for off-line signature nature verification in terms of signature legibility and signature type is studied. We investigate experimentally if the knowledge of letters, syllables or name instances can help in the process of imitating a signature. Experimental results are given on a sub-corpus of the MCYT signature database for random and skilled forgeries. We use for our experiments two machine experts, one based on global image analysis and statistical distance measures, and the second based on local image analysis and Hidden Markov Models. Verification results are reported in terms of Equal Error Rate (EER), False Acceptance Rate (FAR) and False Rejection Rate (FRR). ©2007 IEEE.
Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2007. Vol. 1, 1-6 p.
Biometrics, Error analysis, Image analysis, Imaging techniques, Learning systems, Markov processes, Speech recognition
IdentifiersURN: urn:nbn:se:hh:diva-21200DOI: 10.1109/BCC.2007.4430548ISI: 000255188600020ScopusID: 2-s2.0-50249148484ISBN: 978-142441549-6OAI: oai:DiVA.org:hh-21200DiVA: diva2:589333
Proc. IEEE Biometrics Symposium, BSYM, Baltimore, USA, 11-13 September, 2007