This book provides an overview of the state of the art in research and development of systems for document image analysis. Topics covered include a variety of systems and architectures for processing document images as well as methods for converting those images into formats that can be manipulated by a computer. The chapters are written by recognized experts in the field and describe Systems and Architectures, Recognition Techniques, Graphics Analysis, Document Image Retrieval, and World Wide Web Applications.Contents: Document De-Blurring Using Maximum Likelihood Methods (T Pavlidis)Language Identification in Complex, Unoriented, and Degraded Document Images (D-S Lee et al.)Language-Independent and Segmentation-Free Techniques for Optical Character Recognition (J Makhoul et al.)Priming the Recognizer (G Nagy & Y H Xu)A Multi-Layer Corroboration-Based Checked Reader (G F Houle et al.)A System for Copying Oversize Documents (J F Cullen)SPAM: A Scientific Paper Access Method (A L Spitz)Documents on the Move: DA&IR-Driven Mail Piece Processing Today and Tomorrow (U Miletzki)Evaluating the Performance of Techniques for the Extraction of Primitives from Line Drawings Composed of Horizontal and Vertical Lines (J F Arias et al.)Prediction of OCR Accuracy Using a Neural Network (J Gonzalez et al.)DocBrowse: A System for Textual and Graphical Querying on Degraded Document Image Data (M Y Jaisimha et al.)The Development of a General Framework for Intelligent Document Image Retrieval (D Doermann et al.)Evaluating Japanese Document Recognition in the Internet/Intranet Environment (T Hong et al.)Document Analysis and the World Wide Web (D Lopresti & J Zhou)and other papersReadership: Computer scientists and researchers in artificial intelligence, image processing & computer vision and document image analysis.Key Features:Most of the material given in the book is uniqueThe validity of the basic physical laws is critically probedThe discussion has been done at the basic level