In this paper, a new method for radical extraction of handritten Chinese characters is proposed. This method, called Background Thinning (BT) method consists of three processing steps: dividing by projection, dividing by background thinning and dividing by window extraction. The BT method is considered to help solving the problems of the radical extraction in our OCR (Optical Character Reader) system, which can find an optimum cursive dividing-path to divide a character into radicals. If there is no joinning strokes between two radicals, a continuous dividing-path can be found, and the character can be divided into radicals by means of this cursive dividing-path. If there is some joinning strokes between two radicals, the dividing-path is discontinuous and a window is designed to point them out. By analyzing the joinning strokes in this window (natural or unnatural connection), a divisible character with unnatural connecting strokes can be divided into radicals by connecting the discontinuous dividing-path in this window. The experiment was conducted on the database ETL8 (produced by Electrotechnical laboratory in Japan), which consists of 881 Chinese characters and 160 variations for each character. We have used 351 Chinese characters in the ETL8 as test data and the experimental results prove that the method is useful.
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Fang-Hsuan GHENG, Wen-Hsing HSU, "Radical Extraction from Handwritten Chinese Characters by Background Thinning Method" in IEICE TRANSACTIONS on transactions,
vol. E71-E, no. 1, pp. 88-98, January 1988, doi: .
Abstract: In this paper, a new method for radical extraction of handritten Chinese characters is proposed. This method, called Background Thinning (BT) method consists of three processing steps: dividing by projection, dividing by background thinning and dividing by window extraction. The BT method is considered to help solving the problems of the radical extraction in our OCR (Optical Character Reader) system, which can find an optimum cursive dividing-path to divide a character into radicals. If there is no joinning strokes between two radicals, a continuous dividing-path can be found, and the character can be divided into radicals by means of this cursive dividing-path. If there is some joinning strokes between two radicals, the dividing-path is discontinuous and a window is designed to point them out. By analyzing the joinning strokes in this window (natural or unnatural connection), a divisible character with unnatural connecting strokes can be divided into radicals by connecting the discontinuous dividing-path in this window. The experiment was conducted on the database ETL8 (produced by Electrotechnical laboratory in Japan), which consists of 881 Chinese characters and 160 variations for each character. We have used 351 Chinese characters in the ETL8 as test data and the experimental results prove that the method is useful.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e71-e_1_88/_p
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@ARTICLE{e71-e_1_88,
author={Fang-Hsuan GHENG, Wen-Hsing HSU, },
journal={IEICE TRANSACTIONS on transactions},
title={Radical Extraction from Handwritten Chinese Characters by Background Thinning Method},
year={1988},
volume={E71-E},
number={1},
pages={88-98},
abstract={In this paper, a new method for radical extraction of handritten Chinese characters is proposed. This method, called Background Thinning (BT) method consists of three processing steps: dividing by projection, dividing by background thinning and dividing by window extraction. The BT method is considered to help solving the problems of the radical extraction in our OCR (Optical Character Reader) system, which can find an optimum cursive dividing-path to divide a character into radicals. If there is no joinning strokes between two radicals, a continuous dividing-path can be found, and the character can be divided into radicals by means of this cursive dividing-path. If there is some joinning strokes between two radicals, the dividing-path is discontinuous and a window is designed to point them out. By analyzing the joinning strokes in this window (natural or unnatural connection), a divisible character with unnatural connecting strokes can be divided into radicals by connecting the discontinuous dividing-path in this window. The experiment was conducted on the database ETL8 (produced by Electrotechnical laboratory in Japan), which consists of 881 Chinese characters and 160 variations for each character. We have used 351 Chinese characters in the ETL8 as test data and the experimental results prove that the method is useful.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Radical Extraction from Handwritten Chinese Characters by Background Thinning Method
T2 - IEICE TRANSACTIONS on transactions
SP - 88
EP - 98
AU - Fang-Hsuan GHENG
AU - Wen-Hsing HSU
PY - 1988
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E71-E
IS - 1
JA - IEICE TRANSACTIONS on transactions
Y1 - January 1988
AB - In this paper, a new method for radical extraction of handritten Chinese characters is proposed. This method, called Background Thinning (BT) method consists of three processing steps: dividing by projection, dividing by background thinning and dividing by window extraction. The BT method is considered to help solving the problems of the radical extraction in our OCR (Optical Character Reader) system, which can find an optimum cursive dividing-path to divide a character into radicals. If there is no joinning strokes between two radicals, a continuous dividing-path can be found, and the character can be divided into radicals by means of this cursive dividing-path. If there is some joinning strokes between two radicals, the dividing-path is discontinuous and a window is designed to point them out. By analyzing the joinning strokes in this window (natural or unnatural connection), a divisible character with unnatural connecting strokes can be divided into radicals by connecting the discontinuous dividing-path in this window. The experiment was conducted on the database ETL8 (produced by Electrotechnical laboratory in Japan), which consists of 881 Chinese characters and 160 variations for each character. We have used 351 Chinese characters in the ETL8 as test data and the experimental results prove that the method is useful.
ER -