ICFHR 2018 competition on Thai student signatures and name components recognition and verification (TSNCRV2018)

Suwanwiwat, Hemmaphan, Das, Abhijit, Pal, Umapada, and Blumenstein, Michael (2018) ICFHR 2018 competition on Thai student signatures and name components recognition and verification (TSNCRV2018). In: Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition. pp. 500-505. From: ICFHR 2018: 16th International Conference on Frontiers in Handwriting Recognition, 5-8 August 2018, Niagara Falls, NY, USA.

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Abstract

This paper summarises the results of the competition on the 1st Thai Student Signature and Name Components Recognition and Verification (TSNCRV 2018). It was organised in the context of the 16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018). The aim of this competition was to record the development and gain attention on Thai student signatures and name component recognition and verification. Two different types of datasets were used for the competition: the first dataset contains Thai student signatures and the second dataset contains Thai student name components. Signatures and name components from 100 volunteers each were included in the competition datasets. For Thai signature dataset, there are 30 genuine signatures, 12 skilled and 12 simple forgeries for each writer. For Thai name components, there are 30 genuine and 12 skilfully forged name components for each writer. For both the dataset the individuals were asked to write their name/signature in the given space on a white piece of paper for number of time (with a pause between each 10 samples). The skilled forgers were asked practice emitting the original signature for certain number of times till they fill skilled to forge. Five teams from distinguish labs submitted their systems. This paper analysed the results produced by these algorithms/systems using a performance measure and clamed a way forward for this subject of research. Both the datasets along with some of the accompanying ground truth/baseline mask will be made freely available for research purposes via the TC10/TC11.

Item ID: 56947
Item Type: Conference Item (Research - E1)
ISBN: 978-1-5386-5875-8
Keywords: Handwriting recognition, Thai signature verification, name component recognition, ICFHR2018 competition
Date Deposited: 23 Jan 2019 07:37
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 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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