A Survey on Arabic Handwritten Script Recognition Systems

A Survey on Arabic Handwritten Script Recognition Systems

Soumia Djaghbellou, Abderraouf Bouziane, Abdelouahab Attia, Zahid Akhtar
Copyright: © 2021 |Pages: 17
DOI: 10.4018/IJAIML.20210701.oa9
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Abstract

The optical character recognition (OCR) system is still an active research field in pattern recognition. Such systems can identify, recognize and distinguish electronically between characters and texts, printed or handwritten. They can also do a transformation of such data type into machine-processable form to facilitate the interaction between user and machine in various applications. In this paper, we present the global structure of an OCR system, with its types (on-line and off-line), categories (printed and handwritten) and its main steps. We also focused on off-line handwritten Arabic character recognition and provided a list of the main datasets publicly available. This paper also presents a survey of the works that have been carried out over recent years. Finally, some open issues and potential research directions have been highlighted
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2. The Arabic Language And Script, Origin And Characteristics

The Arabic language (also Quranic and liturgical language) is being used by around 1.8 billion people. The estimated number of people speaking all varieties of Arabic language is as many as 422 million throughout the Middle East and northern Africa (Alginahi, 2013). It is celebrated as a global (universal) language on Dec 18 of each year. The Arabic language is famous for its beauty and diversity of its styles. It is a semi-cursive language in both forms (i.e., printed and handwritten). It is written from right to left. The Arabic writing and alphabet have many different characteristics, which make it unique, as also shown in Table 1.

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