Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

The automatic recognition of text on scanned images has enabled many applications such
as searching for words in large volumes of documents, automatic sorting of postal mail, and …

Given an image of a handwritten word, a CNN is employed to estimate its n-gram frequency
profile, which is the set of n-grams contained in the word. Frequencies for unigrams, bigrams …

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 …

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 paper, we describe a 1D HMM offline handwriting recognition system employing an
analytical approach. The system is supported by a set of robust language independent …

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 …