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 …

Offline handwriting recognition---the transcription of images of handwritten text---is an
interesting task, in that it combines computer vision with sequence learning. In most systems …

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 …

Recurrent neural networks (RNNs) have proved effective at one dimensional sequence
learning tasks, such as speech and online handwriting recognition. Some of the properties …

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 …

Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

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 …

Recurrent neural networks (RNN) have been successfully applied for recognition of cursive
handwritten documents, both in English and Arabic scripts. Ability of RNNs to model context …

We report on the creation of a database composed of images of Arabic Printed words. The
purpose of this database is the large-scale benchmarking of open-vocabulary, multi-font …