Digital Document Processing Major Directions and Recent Advances

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.

Riassunto

Covering all the most recent advances in digital document processing research this book provides a timely overview of all the major topics in this area. A unique reference source.

Dettagli sul prodotto

• Con la collaborazione di: Bidyut B. Chaudhuri (Editore), B. B. Chaudhuri (Editore), Bidyu B Chaudhuri (Editore), Bidyut B Chaudhuri (Editore), Bidyut B Chaudhuri (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 30.01.2007
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9781846285011
• ISBN: 978-1-84628-501-1
• Numero di pagine: 464
• Illustrazioni: XX, 464 p.
• Dimensioni (della confezione): 21 x 3 x 29.7 cm
• Peso (della confezione): 1’425 g
• Serie: Advances in Pattern Recognition; Advances in Computer Vision and Pattern Recognition; Advances in Computer Vision and Pattern Recognition; Advances in Computer Vision an; Advances in Pattern Recognitio
• Categorie: B, Data Mining, Mustererkennung, Text Mining, computer science, Information Retrieval, Cognition, Image Analysis, graphics, pattern recognition, Automated Pattern Recognition, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science), Handwriting, handwriting recognition