Suwanwiwat, Hemmaphan, Das, Abhijit, Ferrer, Miguel, Pal, Umapada, and Blumenstein, Michael (2017) An automatic student verification system utilising off-line Thai name components. In: Proceedings of the International Conference on Digital Image Computing. pp. 826-831. From: DICTA 2017: International Conference on Digital Image Computing: Techniques and Applications, 29 November - 1 December 2017, Sydney, NSW, Australia.

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Abstract

This research proposed an automatic student identification and verification system utilising off-line Thai name components. The Thai name components consist of first and last names. Dense texture-based feature descriptors were able to yield encouraging results when applied to different handwritten text recognition scenarios. As a result, the authors employed such features in investigating their performance on Thai name component verification system. In this research, Dense-Local Binary Pattern, Dense-Local Directional Pattern, and Local Binary Pattern combined with Local Directional Pattern were employed. A base-line shape/feature i.e. Hidden Markov Model (HMM) was also utilised in this study. As there is no dataset on Thai name verification in the literature, a dataset is proposed for a Thai name verification system. The name component samples were collected from high school students. It consists of 8,400 name components (first and last names) from 100 students. Each student provided 60 genuine name components, and each of the name components was forged by 12 other students. An encouraging result was found employing the above-mentioned features on the proposed dataset.

Item ID:	52009
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-5386-2839-3
Keywords:	student identification and verification system, Thai name components, LBP, LDP, HMM
Research Data:	http://ieeexplore.ieee.org/document/8227406/
Date Deposited:	25 Jan 2018 03:16
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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