Research in offline Arabic handwriting recognition has increased considerably in the past
few years. This is evident from the numerous research results published recently in major …

Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

A comprehensive Arabic handwritten text database is an essential resource for Arabic
handwritten text recognition research. This is especially true due to the lack of such …

Since their first inception more than half a century ago, automatic reading systems have
evolved substantially, thereby showing impressive performance on machine-printed text …

Handwriting text recognition for computer systems has been the subject of more and more
research. Recognition of Arabic handwritten text is always an ongoing challenge, mainly …

Recently, deep learning techniques demonstrated efficiency in building better performing
machine learning models which are required in the field of offline Arabic handwriting …

This paper describes the Online Arabic handwritingrecognition competition held at ICDAR
2009. This firstcompetition uses the ADAB-database with Arabic onlinehandwritten words …

This study aims at building an efficient word recognition system resulting from the
combination of three handwriting recognizers. The main component of this combined system …

In this paper, we present research results on off-line Arabic handwriting recognition using
structural techniques. Statistical methods have been more common in the reported research …

Recognition of handwritten Arabic cursive texts is a complex task due to the similarities
between letters under different writing styles. In this paper, a word-based off-line recognition …