Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …

In recent years, with the widespread of Internet and digitized processing of multi-script
documents worldwide, script identification techniques have become more important in the …

Optical character recognition (OCR) is a vital process that involves the extraction of
handwritten or printed text from scanned or printed images, converting it into a format that …

Software programs continue to evolve throughout their lifetime. Maintenance of such
evolving programs, including regression testing, is one of the most expensive activities in …

Classifying pages or text lines into font categories aids transcription because single font
Optical Character Recognition (OCR) is generally more accurate than omni-font OCR. We …

Script recognition has many real-life applications like optical character recognition,
document archiving, writer identification, searching within the documents, etc. Automatic …

Abstract Optical Character Recognition OCR is an essential part of many real-world
applications such as digital archiving, automatic number plate recognition, handle cheques …

In this paper, we present multi-font printed Arabic text recognition using hidden Markov
models (HMMs). We propose a novel approach to the sliding window technique for feature …

In recent years, deep learning has begun to supplant traditional machine learning
algorithms in a variety of fields, including machine translation (MT), pattern recognition (PR) …