No abstract

The pivotal role of datasets in signature verification systems motivates researchers to collect signature samples. Distinct characteristics of Persian signature demands for richer and culture-dependent offline signature datasets. This paper introduces a new and public Persian offline signature dataset, UTSig, that consists of 8280 images from 115 classes. Each class has 27 genuine signatures, 3 opposite-hand signatures, and 42 skilled forgeries made by 6 forgers. Compared with the other public datasets, UTSig has more samples, more classes, and more forgers. We considered various variables including signing period, writing instrument, signature box size, and number of observable samples for forgers in the data collection procedure. By careful examination of main characteristics of offline signature datasets, we observe that Persian signatures have fewer numbers of branch points and end points. We propose and evaluate four different training and test setups for UTSig. Results of our experiments show that training genuine samples along with opposite-hand samples and random forgeries can improve the performance in terms of equal error rate and minimum cost of log likelihood ratio.

No abstract

No abstract

No abstract

No abstract

The interest in personalized handwritten fonts has been increased in recent years. This paper concerns with the automatic generation of Farsi/Arabic handwritten fonts. To reach this target, we need to extract the properties of the writer's script style. The "glyphs" (simple characters or ligatures) of the writer's script are extracted from the basic subwords. The basic subwords are acquired from a writer using tabular sheets. A learning method is used in extraction phase. After glyph extraction, four important steps are performed automatically: (a) adjusting glyphs joints and baselines (b) computing metric data, (c) locating dots, and (d) computing kerning pairs. Finally, the gathered information is compiled in an OpenType ® font file structure to generate a computer font, which can be used in any computer application. The results seem visually acceptable.

No abstract