Recognition of Machine Printed Arabic Characters and Numerals Based on MCR
Summary :
In this paper we describa a system for Off-line Recognition of Arabic characters and Numerals. This is based on expressing the machine printed Arabic alpha-numerical text in terms of strokes obtained by MCR (Minimum Covering Run) expression. The strokes are rendered meaningful by a labeling process. They are used to detect the baseline and to provide necessary features for recognition. The features selected proved to be effective to the extent that with simple right to left analysis we could achieve interesting results. The recognition is achieved by matching to reference prototypes designed for the 28 Arabic characters and 10 numerals. The recognition rate is 97%.
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- IEICE TRANSACTIONS on Information Vol.E78-D No.12 pp.1649-1655
- Publication Date
- 1995/12/25
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- Special Section PAPER (Special Issue on Machine Vision Applications)
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AbdelMalek B.C. ZIDOURI, Supoj CHINVEERAPHAN, Makoto SATO, "Recognition of Machine Printed Arabic Characters and Numerals Based on MCR" in IEICE TRANSACTIONS on Information,
vol. E78-D, no. 12, pp. 1649-1655, December 1995, doi: .
Abstract: In this paper we describa a system for Off-line Recognition of Arabic characters and Numerals. This is based on expressing the machine printed Arabic alpha-numerical text in terms of strokes obtained by MCR (Minimum Covering Run) expression. The strokes are rendered meaningful by a labeling process. They are used to detect the baseline and to provide necessary features for recognition. The features selected proved to be effective to the extent that with simple right to left analysis we could achieve interesting results. The recognition is achieved by matching to reference prototypes designed for the 28 Arabic characters and 10 numerals. The recognition rate is 97%.
URL: https://global.ieice.org/en_transactions/information/10.1587/e78-d_12_1649/_p
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@ARTICLE{e78-d_12_1649,
author={AbdelMalek B.C. ZIDOURI, Supoj CHINVEERAPHAN, Makoto SATO, },
journal={IEICE TRANSACTIONS on Information},
title={Recognition of Machine Printed Arabic Characters and Numerals Based on MCR},
year={1995},
volume={E78-D},
number={12},
pages={1649-1655},
abstract={In this paper we describa a system for Off-line Recognition of Arabic characters and Numerals. This is based on expressing the machine printed Arabic alpha-numerical text in terms of strokes obtained by MCR (Minimum Covering Run) expression. The strokes are rendered meaningful by a labeling process. They are used to detect the baseline and to provide necessary features for recognition. The features selected proved to be effective to the extent that with simple right to left analysis we could achieve interesting results. The recognition is achieved by matching to reference prototypes designed for the 28 Arabic characters and 10 numerals. The recognition rate is 97%.},
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - Recognition of Machine Printed Arabic Characters and Numerals Based on MCR
T2 - IEICE TRANSACTIONS on Information
SP - 1649
EP - 1655
AU - AbdelMalek B.C. ZIDOURI
AU - Supoj CHINVEERAPHAN
AU - Makoto SATO
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E78-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1995
AB - In this paper we describa a system for Off-line Recognition of Arabic characters and Numerals. This is based on expressing the machine printed Arabic alpha-numerical text in terms of strokes obtained by MCR (Minimum Covering Run) expression. The strokes are rendered meaningful by a labeling process. They are used to detect the baseline and to provide necessary features for recognition. The features selected proved to be effective to the extent that with simple right to left analysis we could achieve interesting results. The recognition is achieved by matching to reference prototypes designed for the 28 Arabic characters and 10 numerals. The recognition rate is 97%.
ER -
English
