A Recognition Method of Thai Characters

Pipat HIRANVANICHAKORN; Takeshi AGUI; Masayuki NAKAJIMA

A Recognition Method of Thai Characters

Pipat HIRANVANICHAKORN, Takeshi AGUI, Masayuki NAKAJIMA

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A recognition method of printed Thai characters by the structural analysis of their contours is described. Digital contours of characters are encoded according to directional differences of contour tracing, then, simple arithmetic operations are applied to eliminating noises and extracting concavities and convexities of the contours. Several geometric features of concave and convex arcs are used to calculate similarities of the arcs, then, a pair of the most similar arcs between a model and an input character is determined from the similarities. Finally, for recognizing characters, the similarity between each arc pair of the character portion and the similarity between characters are calculated. By applying the method to 67 categories (670 data) of Thai characters, a very high recognition rate has been obtained.

Publication: IEICE TRANSACTIONS on transactions Vol.E65-E No.12 pp.737-744

Publication Date: 1982/12/25

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Type of Manuscript: PAPER

Category: Data Processing

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Pipat HIRANVANICHAKORN
Takeshi AGUI
Masayuki NAKAJIMA

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Pipat HIRANVANICHAKORN, Takeshi AGUI, Masayuki NAKAJIMA, "A Recognition Method of Thai Characters" in IEICE TRANSACTIONS on transactions, vol. E65-E, no. 12, pp. 737-744, December 1982, doi: .
Abstract: A recognition method of printed Thai characters by the structural analysis of their contours is described. Digital contours of characters are encoded according to directional differences of contour tracing, then, simple arithmetic operations are applied to eliminating noises and extracting concavities and convexities of the contours. Several geometric features of concave and convex arcs are used to calculate similarities of the arcs, then, a pair of the most similar arcs between a model and an input character is determined from the similarities. Finally, for recognizing characters, the similarity between each arc pair of the character portion and the similarity between characters are calculated. By applying the method to 67 categories (670 data) of Thai characters, a very high recognition rate has been obtained.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e65-e_12_737/_p

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@ARTICLE{e65-e_12_737,
author={Pipat HIRANVANICHAKORN, Takeshi AGUI, Masayuki NAKAJIMA, },
journal={IEICE TRANSACTIONS on transactions},
title={A Recognition Method of Thai Characters},
year={1982},
volume={E65-E},
number={12},
pages={737-744},
abstract={A recognition method of printed Thai characters by the structural analysis of their contours is described. Digital contours of characters are encoded according to directional differences of contour tracing, then, simple arithmetic operations are applied to eliminating noises and extracting concavities and convexities of the contours. Several geometric features of concave and convex arcs are used to calculate similarities of the arcs, then, a pair of the most similar arcs between a model and an input character is determined from the similarities. Finally, for recognizing characters, the similarity between each arc pair of the character portion and the similarity between characters are calculated. By applying the method to 67 categories (670 data) of Thai characters, a very high recognition rate has been obtained.},
keywords={},
doi={},
ISSN={},
month={December},}

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TY - JOUR
TI - A Recognition Method of Thai Characters
T2 - IEICE TRANSACTIONS on transactions
SP - 737
EP - 744
AU - Pipat HIRANVANICHAKORN
AU - Takeshi AGUI
AU - Masayuki NAKAJIMA
PY - 1982
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E65-E
IS - 12
JA - IEICE TRANSACTIONS on transactions
Y1 - December 1982
AB - A recognition method of printed Thai characters by the structural analysis of their contours is described. Digital contours of characters are encoded according to directional differences of contour tracing, then, simple arithmetic operations are applied to eliminating noises and extracting concavities and convexities of the contours. Several geometric features of concave and convex arcs are used to calculate similarities of the arcs, then, a pair of the most similar arcs between a model and an input character is determined from the similarities. Finally, for recognizing characters, the similarity between each arc pair of the character portion and the similarity between characters are calculated. By applying the method to 67 categories (670 data) of Thai characters, a very high recognition rate has been obtained.
ER -