Fusion of static image and dynamic information for signature verification
2009 (English)In: ICIP 2009: 2009 IEEE International Conference on Image Processing : proceedings, November 7-12, 2009, Cairo, Egypt, Piscataway, N.J.: IEEE Press, 2009, 2725-2728 p.Conference paper (Refereed)
This paper evaluates the combination of static image (off-line) and dynamic information (on-line) for signature verification. Two off-line and two on-line recognition approaches exploiting information at the global and local levels are used. Experimental results are given using the BiosecurID database (130 signers, 3,640 signatures). Fusion experiments are done using a trained fusion approach based on linear logistic regression. It is shown experimentally that the local systems outperform the global ones, both in the on-line and in the off-line case. We also observe a considerable improvement when combining the two on-line systems, which is not the case with the off-line systems. The best performance is obtained when fusing all the systems together, which is specially evident for skilled forgeries when enough training data is available. ©2009 IEEE.
Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2009. 2725-2728 p.
, International Conference on Image Processing. Proceedings, ISSN 1522-4880
Biometrics fusion, Dynamic information, Fusion experiments, Local system, Logistic regressions, Offline systems, On-line recognition, Signature verification, Skilled forgery, Static images, Trained fusion, Training data
IdentifiersURN: urn:nbn:se:hh:diva-21241DOI: 10.1109/ICIP.2009.5414157ISI: 000280464301129ScopusID: 2-s2.0-77951967999ISBN: 978-142445654-3OAI: oai:DiVA.org:hh-21241DiVA: diva2:589365
2009 IEEE International Conference on Image Processing : proceedings, November 7-12, 2009, Cairo, Egypt