Writer Identification for Offline Handwritten Kanji without using Character Recognition Features

DOI

10.2991/icista.2013.19How to use a DOI?

Keywords

writer identification; handwritten characters; offline characters; Kanji

Abstract

Most research on writer identification in the case of offline handwritten Kanji characters uses character recognition features. In this paper, we assume the following is representative of the writers' style: the start point, the end point, the angle of each stroke composing a Kanji character, and the size and position of the Kanji character. The experimental results show that the identification rates are 95.2% without rejection and 99.6% with 10% rejection for four Kanji characters written by one hundred writers.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ayumu Soma
AU  - Masayuki Arai
PY  - 2013/06
DA  - 2013/06
TI  - Writer Identification for Offline Handwritten Kanji without using Character Recognition Features
BT  - Proceedings of the 2013 International Conference on Information Science and Technology Applications (ICISTA-2013)
PB  - Atlantis Press
SP  - 96
EP  - 98
SN  - 1951-6851
UR  - https://doi.org/10.2991/icista.2013.19
DO  - 10.2991/icista.2013.19
ID  - Soma2013/06
ER  -