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 …

OCR of multi-font Arabic text is difficult due to large variations in character shapes from one
font to another. It becomes even more challenging if the text is rendered at very low …

As technologies grow machines are gaining more and more human like intelligence.
Despite the fact that they have no intelligence on their own, due to advancements in Artificial …

Machine simulation of human reading has been a subject of intensive research for almost
four decades. Automatic Urdu character recognition remains a challenging task due to its …

Document script recognition is one of the important preprocessing steps in a multilingual
optical character recognition (MOCR) system. A MOCR system requires prior knowledge of …

In this chapter we describe several approaches that have been proposed to use learning
algorithm to analyze the layout of digitized documents. Layout analysis encompasses all the …

Optical character recognition (OCR) of machine printed text is ubiquitously considered as a
solved problem. However, error free OCR of degraded (broken and merged) and noisy text …

Selecting suitable techniques and datasets for a machine learning problem is a great
challenge. This research investigates the available machine learning architectures …

In this paper, we propose a novel method to determine upside whether a scanned text
document is right side up or down. The text documents discussed here are limited to …

US11645826B2 - Generating searchable text for documents portrayed in a repository of
digital images utilizing orientation and text prediction neural networks - Google Patents …