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

Advances In Digital Document Processing And Retrieval PDF

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