Open AccessA Survey on Arabic Handwritten Script Recognition Systems
Publication year - 2021
Publication title -
international journal of artificial intelligence and machine learning
Language(s) - English
Resource type - Journals
eISSN - 2642-1585
pISSN - 2642-1577
DOI - 10.4018/ijaiml.20210701oa14
Subject(s) - computer science , optical character recognition , arabic , transformation (genetics) , character (mathematics) , artificial intelligence , field (mathematics) , character recognition , natural language processing , line (geometry) , intelligent character recognition , document processing , arabic script , intelligent word recognition , speech recognition , pattern recognition (psychology) , image (mathematics) , linguistics , philosophy , biochemistry , chemistry , geometry , mathematics , pure mathematics , gene
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