edited by Jonathan J Hull (RICOH California Research Center) & Suzanne L Taylor (Lookheed Martin)

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.

• 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 papers