Gulzar A. Khuwaja and Mohammad S. Laghari
Offline Handwritten Signature Recognition
1304 - 1307
2011
5
11
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/15902
https://publications.waset.org/vol/59
World Academy of Science, Engineering and Technology
Biometrics, which refers to identifying an individual
based on his or her physiological or behavioral characteristics, has
the capability to reliably distinguish between an authorized person
and an imposter. Signature verification systems can be categorized as
offline (static) and online (dynamic). This paper presents a neural
network based recognition of offline handwritten signatures system
that is trained with lowresolution scanned signature images.
Open Science Index 59, 2011