Title
ICFHR 2018 Competition on Thai Student Signatures and Name Components Recognition and Verification (TSNCRV2018)
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 datasets 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 defined 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.
Year
DOI
Venue
2018
10.1109/ICFHR-2018.2018.00093
2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)
Keywords
Field
DocType
Handwriting recognition, Thai signature verification, name component recognition, ICFHR2018 competition
Computer science,Handwriting recognition,Ground truth,Natural language processing,Artificial intelligence,Machine learning
Conference
ISSN
ISBN
Citations 
2167-6445
978-1-5386-5876-5
1
PageRank 
References 
Authors
0.36
7
4
Name
Order
Citations
PageRank
Hemmaphan Suwanwiwat1104.06
Abhijit Das2629.71
Umapada Pal31477139.32
M. Blumenstein416831.87