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 …

In this work we propose a method for simultaneously learning features and a corresponding
similarity metric for person re-identification. We present a deep convolution architecture with …

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

As the years passed by, computers became more powerful and automation became the
need of generation. Humans tried to automate their work and replace themselves with …

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 …

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 …

Off-line recognition of text play a significant role in several application such as the automatic
sorting of postal mail or editing old documents. It is the ability of the computer to distinguish …

This paper presents a comparative study of two machine learning techniques for recognizing
handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian …

The Arabic alphabet is used in around 27 languages, including Arabic, Persian, Kurdish,
Urdu, and Jawi. Many researchers have developed systems for recognizing cursive …