Advances in Digital Document Processing and Retrieval (Statistical Science and Interdisciplinary Research)

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Advances in Digital Document Processing and Retrieval (Statistical Science and Interdisciplinary Research)

Chaudhuri, Bidyut Baran (EDT)/ Parui, Swapan Kumar (EDT)

ウェブストア価格 ¥28,131（本体¥25,574）
World Scientific Publishing Co Pte Ltd（2014/01発売）
外貨定価 US$ 135.00
ポイント 255pt

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製本 Hardcover:ハードカバー版／ページ数 336 p.
言語 ENG
商品コード 9789814368704
DDC分類 025.04

Full Description

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.

Document Image Analysis using markovian models: Application to historical documents (Stephane Nicolas, Thierry Paquet & Laurent Heutte); Information Just-in-Time: Going beyond the Myth of Paperlessness (Hiromichi Fujisawa, Hisashi Ikeda,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).