Suwanwiwat, Hemmaphan, Nguyen, Vu, Blumenstein, Michael, and Pal, Umapada (2014) Off-line handwritten bilingual name recognition for student identification in an automated assessment system. In: Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition. pp. 271-276. From: ICFHR 2014: 14th International Conference on Frontiers in Handwriting Recognition, 1-4 September 2014, Hersonisson, Greece.

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Abstract

The Student name Identification System (SIS) proposed here was investigated for English and Thai languages combined. The proposed system recognises each name by using an approach for whole word recognition. In the proposed system, the Gaussian Grid Feature (GGF), and Modified Direction Feature (MDF), together with a proposed hybrid feature extraction technique called Water Reservoir, Loop and Gaussian Grid Feature (WRLGGF) were investigated on full word contour images of each name sample; Artificial neural networks and support vector machines were used as classifiers. An encouraging recognition accuracy of 99.25% was achieved employing the proposed technique compared to 98.59% for GGF, and 96.63% using MDF.

Item ID:	44628
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-4799-4335-7
ISSN:	2167-6445
Keywords:	off-line handwriting recognition; automated assessment system; bilingual student identification
Related URLs:	Publisher
Date Deposited:	20 Oct 2016 04:03
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 50% 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 100%
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