Description

Book Synopsis
From the participation of researchers in most important international conferences in the field, it is noted that activities in automatic document processing have been continuously growing. This book is an edited volume in Digital Document Processing where the chapters are written by several internationally renowned researchers in the domain. It will be useful for both students and researchers working on various aspects of document image analysis and recognition problems. It contains chapters on topics that are not covered by any textbook, but are more futuristic like “Going beyond the Myth of Paperlessness”, or interesting application areas like “The Role of Document Image Analysis in Trustworthy Elections” as well as “Word Recognition for Museum Index Cards with SNT-Grid”. Persons developing document analysis software for industry may also find the chapters useful and attractive. The language of the chapters is simple and clear, along with drawings/diagrams wherever necessary. An adequate number of references are given at the end of each chapter. Overall, the book is highly readable and will be an asset to the community. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.

Table of Contents
Document Image Analysis using markovian models: Application to historical documents (Stephane Nicolas, Thierry Paquet & Laurent Heutte); Information Just-in-Time: Going beyond the Myth of Paperlessness (Hiromichi Fujisawa, Hisashi Ikeda, Naohiro Furukawa, Kosuke Konishi & Shoichi Nakagami); Indexing and Retrieval of Handwritten Documents (H Cao & V Govindaraju); Comprehensive Check Image Reader (M Shridhar, G F Houle, Ron Bakker & F Kimura); Statistical Deformation Model for Handwritten Character Recognition (S Uchida); Robust Word Recognition for Museum Index Cards with the SNT-Grid (S M Lucas & A Foullon-Perez); Historical Handwritten Document Recognition (S L Feng & R Manmatha); The Role of Document Image Analysis in Trustworthy Elections (G Nagy & D Lopresti); Information Retrieval from Document Image Databases (Shijian Lu & Chew Lim Tan); Statistical Modeling of Document Appearance: A Survey (Prateek Sarkar); Reverse-Engineering of PDF Files (Rolf Ingold, Jean-Luc Bloechle & Maurizio Rigamonti); Recognition of Bangla Handwriting: Current Status and Future Directions (U Bhattacharya, S K Parui & B B Chaudhuri).

Advances In Digital Document Processing And

    Product form

    £100.80

    Includes FREE delivery

    RRP £112.00 – you save £11.20 (10%)

    Order before 4pm today for delivery by Thu 18 Jun 2026.

    A Hardback by Bidyut Baran Chaudhuri, Swapan Kumar Parui

    Out of stock


      View other formats and editions of Advances In Digital Document Processing And by Bidyut Baran Chaudhuri

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 23/01/2014
      ISBN13: 9789814368704, 978-9814368704
      ISBN10: 9814368709

      Description

      Book Synopsis
      From the participation of researchers in most important international conferences in the field, it is noted that activities in automatic document processing have been continuously growing. This book is an edited volume in Digital Document Processing where the chapters are written by several internationally renowned researchers in the domain. It will be useful for both students and researchers working on various aspects of document image analysis and recognition problems. It contains chapters on topics that are not covered by any textbook, but are more futuristic like “Going beyond the Myth of Paperlessness”, or interesting application areas like “The Role of Document Image Analysis in Trustworthy Elections” as well as “Word Recognition for Museum Index Cards with SNT-Grid”. Persons developing document analysis software for industry may also find the chapters useful and attractive. The language of the chapters is simple and clear, along with drawings/diagrams wherever necessary. An adequate number of references are given at the end of each chapter. Overall, the book is highly readable and will be an asset to the community. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.

      Table of Contents
      Document Image Analysis using markovian models: Application to historical documents (Stephane Nicolas, Thierry Paquet & Laurent Heutte); Information Just-in-Time: Going beyond the Myth of Paperlessness (Hiromichi Fujisawa, Hisashi Ikeda, Naohiro Furukawa, Kosuke Konishi & Shoichi Nakagami); Indexing and Retrieval of Handwritten Documents (H Cao & V Govindaraju); Comprehensive Check Image Reader (M Shridhar, G F Houle, Ron Bakker & F Kimura); Statistical Deformation Model for Handwritten Character Recognition (S Uchida); Robust Word Recognition for Museum Index Cards with the SNT-Grid (S M Lucas & A Foullon-Perez); Historical Handwritten Document Recognition (S L Feng & R Manmatha); The Role of Document Image Analysis in Trustworthy Elections (G Nagy & D Lopresti); Information Retrieval from Document Image Databases (Shijian Lu & Chew Lim Tan); Statistical Modeling of Document Appearance: A Survey (Prateek Sarkar); Reverse-Engineering of PDF Files (Rolf Ingold, Jean-Luc Bloechle & Maurizio Rigamonti); Recognition of Bangla Handwriting: Current Status and Future Directions (U Bhattacharya, S K Parui & B B Chaudhuri).

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account