Automatic Measures for Predicting Performance in Off-line Signature
2007 (English)Conference paper (Refereed)
Performance in terms of accuracy is one of the most important goal of a biometric system. Hence, having a measure which is able to predict the performance with respect to a particular sample of interest is specially useful, and can be exploited in a number of ways. In this paper, we present two automatic measures for predicting the performance in off-line signature verification. Results obtained on a sub-corpus of the MCYT signature database confirms a relationship between the proposed measures and system error rates measured 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, 369-372 p.
, IEEE International Conference on Image Processing ICIP, ISSN 1522-4880
Biometrics, Document image processing, Handwriting recognition, Pattern recognition
IdentifiersURN: urn:nbn:se:hh:diva-21201DOI: 10.1109/ICIP.2007.4378968ISI: 000253487200093ScopusID: 2-s2.0-48149088643ISBN: 978-142441437-6SOAI: oai:DiVA.org:hh-21201DiVA: diva2:589334
14th IEEE International Conference on Image Processing, ICIP 2007, San Antonio, TX, USA, 16-19 September, 2007