Multiple generation of Bengali static signatures
Document Type
Conference Article
Publication Title
Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR
Abstract
Handwritten signature datasets are really necessary for the purpose of developing and training automatic signature verification systems. It is desired that all samples in a signature dataset should exhibit both inter-personal and intra-personal variability. A possibility to model this reality seems to be obtained through the synthesis of signatures. In this paper we propose a method based on motor equivalence model theory to generate static Bengali signatures. This theory divides the human action to write mainly into cognitive and motor levels. Due to difference between scripts, we have redesigned our previous synthesizer [1,2], which generates static Western signatures. The experiments assess whether this method can approach the intra and inter-personal variability of the Bengali-100 Static Signature DB from a performance-based validation. The similarities reported in the experimental results proof the ability of the synthesizer to generate signature images in this script.
First Page
42
Last Page
47
DOI
10.1109/ICFHR.2016.0021
Publication Date
7-2-2016
Recommended Citation
Diaz, Moises; Chanda, Sukalpa; Ferrer, Miguel A.; Banerjee, Chayan Kr; Majumdar, Anirban; Carmona-Duarte, Cristina; Acharya, Parikshit; and Pal, Umapada, "Multiple generation of Bengali static signatures" (2016). Conference Articles. 754.
https://digitalcommons.isical.ac.in/conf-articles/754
Comments
Open Access; Green Open Access