Impact of time variability in off-line writer identification and verification
2009 (English)In: ISPA 2009: Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, Piscataway, N.J.: IEEE Press, 2009, 540-545 p.Conference paper (Refereed)
One of the biggest challenges in person recognition using biometric systems is the variability in the acquired data. In this paper, we evaluate the effects of an increasing time lapse between reference and test biometric data consisting of static images of handwritten signatures and texts. We use for our experiments two recognition approaches exploiting information at the global and local levels, and the BiosecurlD database, containing 3,724 signature images and 532 texts of 133 individuals acquired in four acquisition sessions distributed along a 4 months time span. We report results of the recognition systems working both in verification (one-to-one) and identification (one-to-many) mode. The results show the extent of the impact that the time separation between samples under comparison has on the recognition rates, being the local approach more robust to the time lapse than the global one. We also observe in our experiments that recognition based on handwritten texts provides higher accuracy than recognition based on signatures.
Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2009. 540-545 p.
Biometric data, Biometric systems, Handwritten signatures, Handwritten texts, Local approaches, Person recognition, Recognition rates, Recognition systems, Signature images, Static images
IdentifiersURN: urn:nbn:se:hh:diva-21240ISI: 000275167900094ScopusID: 2-s2.0-70450270761OAI: oai:DiVA.org:hh-21240DiVA: diva2:589366
6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009), Univ. Salzburg, Dept Comp Sci, Salzburg, AUSTRIA, September 16-18, 2009