Abstract
Handwriting recognition is considered a very hard area of research, especially for Arabic, because of its ligatures, cursive nature, diacritics, and overlapping. Although many studies have been conducted on Arabic recognition, this field still has many unsolved problems. This work aims to provide a comprehensive review of various strategies for handling Arabic handwriting recognition. Furthermore, it details handwriting recognition, general recognition, Arabic recognition, its characteristics, and the difficulties it faces. Additionally, we discuss online and offline Arabic recognition and other classifications of Arabic recognition methods. We also highlight efforts related to the Arabic datasets and the most important ones, such as the first online Quranic handwritten word dataset. Moreover, we address other efforts related to Arabic recognition that don't deal with the recognition process itself, such as estimating the dates of historical Arabic documents.
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