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

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 …

This paper introduces a pair of online and offline Chinese handwriting databases,
containing samples of isolated characters and handwritten texts. The samples were …

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 …

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

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

In document image analysis (DIA) especially in handwritten document recognition, standard
databases play significant roles for evaluating performances of algorithms and comparing …

Research towards Indian handwritten document analysis achieved increasing attention in
recent years. In pattern recognition and especially in handwritten document recognition …

This paper presents an important step towards the standardization of research works on
Optical Character Recognition in Persian language. It describes the formations of a standard …

The great success and high recognition rates of both OCR systems and recognition systems
for handwritten words are inconceivable without the availability of huge data sets of real …