Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

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 …

This chapter provides the background material and literature review for supervised
sequence labelling. Section 2.1 briefly reviews supervised learning in general. Section 2.2 …

The recognition of Indian and Arabic handwriting is drawing increasing attention in recent
years. To test the promise of existing handwritten numeral recognition methods and provide …

Deep Convolutional neural networks (CNN) have been among the utmost competitive
neural network architectures and have set the state-of-the-art in various fields of computer …

Abstract Optical Character Recognition of cursive scripts remains a challenging task due to a
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …

Recognising characters from text have been a popular topic in the computer vision area. The
application can benefit to many problems in the world. For example: recognising text in …

Developing a standard database for offline handwriting recognition is an essential task. This
paper offers a novel comprehensive database for conducting research on offline Persian …

Off-line recognition of text play a significant role in several application such as the automatic
sorting of postal mail or editing old documents. It is the ability of the computer to distinguish …

Numeral recognition is an important preliminary step for optical character recognition,
document understanding and others. Deep learning based numeral recognition models …