Writer Identification for Offline Handwritten Kanji without using Character Recognition Features
- 10.2991/icista.2013.19How to use a DOI?
- writer identification; handwritten characters; offline characters; Kanji
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.
- © 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/).
Cite this article
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 -