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A Survey on Arabic Handwritten Character Recognition

SN Computer Science, 2020
There are much heavy studies on handwritten character recognition (HCR) for nearly previous four decades. The research on some of the common script like Arabic, Indian and Chinese has been done. This manuscript presents a survey of character recognition on Arabic script, and most of the popular published paper methods are summarized and also analyzed ...
Amani Ali Ahmed Ali
exaly   +3 more sources

Recognition of handwritten cursive Arabic characters

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
An automatic off-line character recognition system for handwritten cursive Arabic characters is presented. A robust noise-independent algorithm is developed that yields skeletons that reflect the structural relationships of the character components. The character skeleton is converted to a tree structure suitable for recognition.
R J Green
exaly   +3 more sources

On-line recognition of handwritten Arabic characters

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990
Arabic characters are always in cursive script. Handwritten words were entered into an IBM PC via a graphics tablet and a segmentation process applied to the points; the length and the slope of each segment was then found, and the slope categorized into one of four directions. In the learning process, specifications on the strokes of each character are
Samir Al-Emami, Mike Usher
exaly   +2 more sources

Evaluation Approach of Arabic Character Recognition

open access: yesInternational Journal of Computer Vision and Image Processing, 2011
This paper proposes and contributes towards designing a complete system for off-line Arabic character recognition. The proposed system is specifically meant for Arabic handwriting recognition, but it equally works for the typed character recognition. It has various phases including preprocessing and segmentation.
Hanan Aljuaid   +2 more
openaire   +3 more sources

Arabic Optical Character Recognition

open access: yes, 2011
Arabic text recognition is receiving more attentions from both Arabic and non-Arabic-speaking researchers. This chapter provides a general overview of the state-of-the-art in Arabic Optical Character Recognition (OCR) and the associated text recognition technology.
Husni Al-Muhtaseb, Rami Qahwaji
openaire   +2 more sources

Segmentation and recognition of Arabic characters by structural classification

Image and Vision Computing, 1997
Arabic characters differ significantly from other characters, such as Latin and Chinese characters, in that they are written cursively in both printed and handwritten forms, and consist of 28 main characters. However, most of their shapes change according to their position in the word.
B. M. F. Bushofa, Michael Spann
exaly   +2 more sources

Real-time arabic handwritten character recognition

Pattern Recognition, 1990
Abstract This paper considers the development of a real-time Arabic handwritten character recognition system. The shape of an Arabic character depends on its position in a given word. The system assumes that characters result from a reliable segmentation stage, thus, the position of the character is known a priori.
Talaat S. El-Sheikh, S. G. El-Taweel
exaly   +3 more sources

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