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 …

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 …

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 …

We survey the optical character recognition (OCR) literature with reference to the Urdu-like
cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the …

Despite the transition to digital information exchange, many documents, such as invoices,
taxes, memos and questionnaires, historical data, and answers to exam questions, still …

Text, as one of humanity's most influential innovations, has played an important role in
shaping our lives. Reading a text is a difficult task due to several reasons factors, such as …

This paper describes a technique for automatic recognition of off-line printed Arabic text
using Hidden Markov Models. In this work different sizes of overlapping and non …

Electronically available Urdu data is in image form which is very difficult to process. Printed
Urdu data is the root cause of problem. So for the rapid progress of Urdu language we need …

Offline Persian handwriting recognition is a challenging task due to the cursive nature of the
Persian scripts and similarity among the Persian alphabet letters. This paper presents a …

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