An approach to offline Arabic Character recognition using Neural networks

S. N. Nawaz; M. Sarfraz; A. Zidouri; W. G. Al-Khatib

doi:10.1109/ICECS.2003.1301760

An approach to offline Arabic Character recognition using Neural networks

S. N. Nawaz, M. Sarfraz, A. Zidouri, W. G. Al-Khatib

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

36 Scopus citations

Abstract

Character recognition system can contribute tremendously towards the advancement of automation process and can be useful in many other applications such as Data Entry, Check Verification etc .This paper presents a technique for the automatic recognition of Arabic Characters. The technique is based on Neural Pattern Recognition Approach. The main features of the system are preprocessing of the text, segmentation of the text to individual characters, Feature extraction using centralized moments technique and recognition using RBF Network. The system is implemented in Java Programming Language under Windows Environment. The System is designed for a single font multi size character set.

Original language	English
Title of host publication	ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages	1328-1331
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2003.1301760
State	Published - 2003

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume	3

Keywords

Arabic character recognition
Artificial Neural networks
Feature extaction
Segmentation

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICECS.2003.1301760

Cite this

Nawaz, S. N., Sarfraz, M., Zidouri, A., & Al-Khatib, W. G. (2003). An approach to offline Arabic Character recognition using Neural networks. In ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems (pp. 1328-1331). Article 1301760 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 3). https://doi.org/10.1109/ICECS.2003.1301760

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title = "An approach to offline Arabic Character recognition using Neural networks",

abstract = "Character recognition system can contribute tremendously towards the advancement of automation process and can be useful in many other applications such as Data Entry, Check Verification etc .This paper presents a technique for the automatic recognition of Arabic Characters. The technique is based on Neural Pattern Recognition Approach. The main features of the system are preprocessing of the text, segmentation of the text to individual characters, Feature extraction using centralized moments technique and recognition using RBF Network. The system is implemented in Java Programming Language under Windows Environment. The System is designed for a single font multi size character set.",

keywords = "Arabic character recognition, Artificial Neural networks, Feature extaction, Segmentation",

author = "Nawaz, {S. N.} and M. Sarfraz and A. Zidouri and Al-Khatib, {W. G.}",

year = "2003",

doi = "10.1109/ICECS.2003.1301760",

language = "English",

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Nawaz, SN, Sarfraz, M, Zidouri, A & Al-Khatib, WG 2003, An approach to offline Arabic Character recognition using Neural networks. in ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems., 1301760, Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, vol. 3, pp. 1328-1331. https://doi.org/10.1109/ICECS.2003.1301760

An approach to offline Arabic Character recognition using Neural networks. / Nawaz, S. N.; Sarfraz, M.; Zidouri, A. et al.
ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. 2003. p. 1328-1331 1301760 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - An approach to offline Arabic Character recognition using Neural networks

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AU - Sarfraz, M.

AU - Zidouri, A.

AU - Al-Khatib, W. G.

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Y1 - 2003

N2 - Character recognition system can contribute tremendously towards the advancement of automation process and can be useful in many other applications such as Data Entry, Check Verification etc .This paper presents a technique for the automatic recognition of Arabic Characters. The technique is based on Neural Pattern Recognition Approach. The main features of the system are preprocessing of the text, segmentation of the text to individual characters, Feature extraction using centralized moments technique and recognition using RBF Network. The system is implemented in Java Programming Language under Windows Environment. The System is designed for a single font multi size character set.

AB - Character recognition system can contribute tremendously towards the advancement of automation process and can be useful in many other applications such as Data Entry, Check Verification etc .This paper presents a technique for the automatic recognition of Arabic Characters. The technique is based on Neural Pattern Recognition Approach. The main features of the system are preprocessing of the text, segmentation of the text to individual characters, Feature extraction using centralized moments technique and recognition using RBF Network. The system is implemented in Java Programming Language under Windows Environment. The System is designed for a single font multi size character set.

KW - Arabic character recognition

KW - Artificial Neural networks

KW - Feature extaction

KW - Segmentation

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SN - 0780381637

SN - 9780780381636

T3 - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

SP - 1328

EP - 1331

BT - ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems

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Nawaz SN, Sarfraz M, Zidouri A, Al-Khatib WG. An approach to offline Arabic Character recognition using Neural networks. In ICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. 2003. p. 1328-1331. 1301760. (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems). doi: 10.1109/ICECS.2003.1301760

An approach to offline Arabic Character recognition using Neural networks

Abstract

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Keywords

ASJC Scopus subject areas

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