Digital Document Processing: Major Directions and Recent Advances (Advances in Computer Vision and Pattern Recognition)

ISBN 10: 1849966141 / ISBN 13: 9781849966146

Editore: Springer, 2010

Riguardo questo articolo

Codice articolo ABLIING23Mar2912160254930

Dati bibliografici

Titolo: Digital Document Processing: Major ...

Casa editrice: Springer

Data di pubblicazione: 2010

Legatura: Brossura

Condizione: New

Descrizione articolo

Riassunto:

This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.

Dalla quarta di copertina:

With the advent of the Digital Library initiative, web document processing and biometric aspects of digital document processing, together with new techniques of printed and handwritten Optical Character Recognition (OCR), a good overview of this fast-developing field is invaluable. In this book, all the major and frontier topics in the field of document analysis are brought together into a single volume creating a unique reference source.

Highlights include:

· Document structure analysis followed by OCR of Japanese, Tibetan and Indian printed scripts.

· Online and offline handwritten text recognition approaches;

· Japanese postal and Arabic check processing;

· Document image quality modelling, mathematical expression recognition, graphics recognition, document information retrieval, super resolution text, metadata extraction in digital library;

· Biometric and forensic aspects: individuality of handwriting detection;

· Web document analysis, text and hypertext mining and bank check data mining.

Containing chapters written by some of the most eminent researchers active in this field, this book can serve as a handbook for the research scholar as well as a supporting book for advanced graduate students interested in document processing or image analysis.