This book continues first one of the same authors “Adaptive Image Processing Algorithms for Printing” and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors’ practical experience in algorithm development for industrial R&D.

How can you incorporate the latest advances in document image processing technology to your designs? This book details the practical engineering aspects of the technology, including scanning principles, compression and spatial filtering techniques, geometrical transformations required for translation and scaling, histogram modification, and halftone screening. It also features introductions to feature extraction, clustering, and classification needed for optical character recognition. Complete with 175 equations and 158 illustrations.

This text provides an overview of electronic imaging systems, technology, and practical applications. Written by industry experts, its chapters explore a variety of systems and applications ranging from video compression and handwritten word recognition to colour science and hardware architecture.

Text and Context: Document Storage and Processing describes information processing techniques, including those which do not appear in conventional textbooks on database systems. It focuses on the input, storage, retrieval and presentation of primarily textual information, together with auxiliary material about graphic and video data. There are chapters on text analysis as a basis for lexicography, full-text databases and information retrieval, the use of optical storage for both ASCII text and scanned document images, hypertext and multi-media systems, abstract document definition, and document formatting and imaging. The material is treated in an informal way with an emphasis on real applications and software. There are, among others, case studies from Reuters, British Airways, St. Bartholomew's Hospital, Sony, and HMSO. Relevant industry standards are discussed including ISO 9660 for CD-ROM file storage, CCITT Group4 data compression, the Standard Generalised Markup Language and Office Document Architecture, and the Postscript language. Readers will benefit from the way Susan Jones has brought together this information, in a logical sequence, to highlight the connections between related topics. This book will be of interest to second and third year undergraduates and MSc students in computer science, to B/TEC HTD final year computing and information science students either specialising in IT or taking an IT option, and to students taking courses in IT and in business computing systems.