Many novice programming environments use puzzle-like approaches to help novice
programmers acquire new programming skills independently. Yet, little is known about 1) …

Optical Character Recognition (OCR) is the process of identifying text in an image and
convert it into a digital form. Several approaches have been attempted to accurately …

Abstract We develop Arabic Optical Character Recognition (AOCR) system that has five
stages: preprocessing, segmentation, thinning, feature extraction, and classification. In …

Featured Application This work helps in the preparation of OCR for the Kurdish language. In
particular, its focus is on Kurdish texts written in Persian-Arabic script. Currently, Kurdish …

For many years, researchers have studied high accuracy methods for recognizing the
handwriting and achieved many significant improvements. However, an issue that has rarely …

The aim of this work is to fill a void in the literature of Arabic handwriting recognition by
studying the performance of different feature extraction methods on online segmented …

Optical character recognition (OCR) systems improve human-machine interaction. They are
widely used in many areas such as editing and storing previously printed or handwritten …

Various dynasties ruled the Indian sub-continent and left behind enormous and rich cultural
heritage that also included intellectually enriched research in the shape of various …

Stone inscripted literature speaks about the history, language of different regions of the
world. Preservation of such document through digitalization process is become very …

Font Recognition (FR) is useful in improving optical text recognition accuracy and time. In
addition, it can be used to restore the original document text fonts, styles and sizes. In this …