Tan, G. J. and Sulong, G. and Rahim, M. S. M. (2017) Writer identification: A comparative study across three world major languages. Forensic Science International, 279 . pp. 41-52. ISSN 0379-0738
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Official URL: http://dx.doi.org/10.1016/j.forsciint.2017.07.034
Abstract
This paper presents a review on the state of the art in offline text-independent writer identification methods for three major languages, namely English, Chinese and Arabic, which were published in literatures from 2011 till 2016. For ease of discussions, we grouped the techniques into three categories: texture-, structure-, and allograph-based. Results are analysed, compared and tabulated along with datasets used for fair and just comparisons. It is observed that during that period, there are significant progresses achieved on English and Arabic; however, the growth on Chinese is rather slow and far from satisfactory in comparison to its wide usage. This is due to its complex writing structure. Meanwhile, issues on datasets used by previous studies are also highlighted because the size matter – accuracy of the writer identification deteriorates as database size increases.
Item Type: | Article |
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Uncontrolled Keywords: | chinese handwriting writer recognition, handwriting identification, text-independent writer recognition |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 81081 |
Deposited By: | Narimah Nawil |
Deposited On: | 24 Jul 2019 03:09 |
Last Modified: | 24 Jul 2019 03:09 |
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