@inproceedings{6bd8af4f819548cdbc7b921e2b26d213,
title = "Character recognition of Arabic and Latin scripts",
abstract = "The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written or printed text and to translate it into a corresponding digital form. The multitude requirements and developments are well represented in the literature (see for example Abuhaiba [1] and Suen [2]). The primary objective of this paper is to provide an insight into a robust system which has been successfully developed and employed to recognise Latin and Arabic characters and whose workings has been described by the authors in a sister publication [3]. The focus here is to discuss the main components used in the multi-stage system, paying particular attention to the normalisation process used for orientation and size for a given bitmapped character. The effectiveness of the approach is demonstrated through its workings for the Arabic and Latin case, both,for characters and numbers.",
keywords = "Arabic, Confusion matrix, Fonts, Latin, Normalisation, OCR, Pattern recognition",
author = "Fiaz Hussain and John Cowell",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; 4th IEEE International Conference on Information Visualisation, IV 2000 ; Conference date: 19-07-2000 Through 21-07-2000",
year = "2000",
doi = "10.1109/IV.2000.859736",
language = "English",
series = "Proceedings of the International Conference on Information Visualisation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "51--56",
editor = "Ebad Banissi and {McK. Bannatyne}, {Mark W.} and Chaomei Chen and Farzad Khosrowshahi and Muhammad Sarfraz and Anna Ursyn",
booktitle = "Proceedings - IEEE International Conference on Information Visualisation, IV 2000",
}