An On-line Recognition Method of Thai Characters
Summary :
This paper reports an on-line recognition method of Thai characters being composed of curves, and having many complicated and similar shapes. A character stroke is segmented into clockwise and counter clockwise arcs according as the stroke tracing is clockwise or counter clockwise, by making use of eight directional codes and directional differences of stroke tracing. Intuitively described features such as the sequence of stroke arcs, types of arc and relative positions of arcs are utilized for classifying characters. A multi-step classification method is introduced to achieve a good recognition rate. By applying the method to 69 categories (414 data) of Thai characters, a recognition rate of 100% for learning data, and a recognition rate of 96.4% for test data have been obtained.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E68-E No.9 pp.594-601
- Publication Date
- 1985/09/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Data Processing
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Pipat HIRANVANICHAKORN, Takeshi AGUI, Masayuki NAKAJIMA, "An On-line Recognition Method of Thai Characters" in IEICE TRANSACTIONS on transactions,
vol. E68-E, no. 9, pp. 594-601, September 1985, doi: .
Abstract: This paper reports an on-line recognition method of Thai characters being composed of curves, and having many complicated and similar shapes. A character stroke is segmented into clockwise and counter clockwise arcs according as the stroke tracing is clockwise or counter clockwise, by making use of eight directional codes and directional differences of stroke tracing. Intuitively described features such as the sequence of stroke arcs, types of arc and relative positions of arcs are utilized for classifying characters. A multi-step classification method is introduced to achieve a good recognition rate. By applying the method to 69 categories (414 data) of Thai characters, a recognition rate of 100% for learning data, and a recognition rate of 96.4% for test data have been obtained.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e68-e_9_594/_p
Copy
@ARTICLE{e68-e_9_594,
author={Pipat HIRANVANICHAKORN, Takeshi AGUI, Masayuki NAKAJIMA, },
journal={IEICE TRANSACTIONS on transactions},
title={An On-line Recognition Method of Thai Characters},
year={1985},
volume={E68-E},
number={9},
pages={594-601},
abstract={This paper reports an on-line recognition method of Thai characters being composed of curves, and having many complicated and similar shapes. A character stroke is segmented into clockwise and counter clockwise arcs according as the stroke tracing is clockwise or counter clockwise, by making use of eight directional codes and directional differences of stroke tracing. Intuitively described features such as the sequence of stroke arcs, types of arc and relative positions of arcs are utilized for classifying characters. A multi-step classification method is introduced to achieve a good recognition rate. By applying the method to 69 categories (414 data) of Thai characters, a recognition rate of 100% for learning data, and a recognition rate of 96.4% for test data have been obtained.},
keywords={},
doi={},
ISSN={},
month={September},}
Copy
TY - JOUR
TI - An On-line Recognition Method of Thai Characters
T2 - IEICE TRANSACTIONS on transactions
SP - 594
EP - 601
AU - Pipat HIRANVANICHAKORN
AU - Takeshi AGUI
AU - Masayuki NAKAJIMA
PY - 1985
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E68-E
IS - 9
JA - IEICE TRANSACTIONS on transactions
Y1 - September 1985
AB - This paper reports an on-line recognition method of Thai characters being composed of curves, and having many complicated and similar shapes. A character stroke is segmented into clockwise and counter clockwise arcs according as the stroke tracing is clockwise or counter clockwise, by making use of eight directional codes and directional differences of stroke tracing. Intuitively described features such as the sequence of stroke arcs, types of arc and relative positions of arcs are utilized for classifying characters. A multi-step classification method is introduced to achieve a good recognition rate. By applying the method to 69 categories (414 data) of Thai characters, a recognition rate of 100% for learning data, and a recognition rate of 96.4% for test data have been obtained.
ER -
English
