Recognition of machine printed Arabic characters and numerals based on MCR

Abdel Malek B.C. Zidouri; Supoj Chinveeraphan; Makoto Sato

Recognition of machine printed Arabic characters and numerals based on MCR

Abdel Malek B.C. Zidouri^*, Supoj Chinveeraphan, Makoto Sato

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

In this paper we describe 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 the 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%.

Original language	English
Pages (from-to)	1649-1655
Number of pages	7
Journal	IEICE Transactions on Information and Systems
Volume	E78-D
Issue number	12
State	Published - Dec 1995
Externally published	Yes

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Recognition of machine printed Arabic characters and numerals based on MCR",

abstract = "In this paper we describe 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 the 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%.",

author = "Zidouri, {Abdel Malek B.C.} and Supoj Chinveeraphan and Makoto Sato",

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T1 - Recognition of machine printed Arabic characters and numerals based on MCR

AU - Zidouri, Abdel Malek B.C.

AU - Chinveeraphan, Supoj

AU - Sato, Makoto

PY - 1995/12

Y1 - 1995/12

N2 - In this paper we describe 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 the 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%.

AB - In this paper we describe 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 the 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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M3 - Article

AN - SCOPUS:0029532413

SN - 0916-8532

VL - E78-D

SP - 1649

EP - 1655

JO - IEICE Transactions on Information and Systems

JF - IEICE Transactions on Information and Systems

IS - 12

ER -

Recognition of machine printed Arabic characters and numerals based on MCR

Abstract

ASJC Scopus subject areas

UN SDGs

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