cam a22 2 4500 317106163 CHVBK 20201009210943.0 cr nn|008mamaa 140512s2014 xxk-----s---- 0 0-eng-d 978-0-85729-858-4 print 978-0-85729-859-1 eISBN 10.1007/978-0-85729-859-1 doi (OCoLC)882942934 (IDSSG)000655350 Springer ger SzZuIDS HSG kids TA1637-1638 COM016000 bisacsh 006.6 23 006.37 23 Handbook of Document Image Processing and Recognition edited by David Doermann, Karl Tombre London Springer London 2014 Online-Ressource Text txt rdacontent/ger Computermedien c rdamedia/ger Online-Ressource cr rdacarrier/ger The Handbook of Document Image Processing and Recognition provides a consistent, comprehensive resource on the available methods and techniques in document image processing and recognition. It includes unified comparison and contrast analysis of algorithms in standard table formats. Thus, it educates the reader in order to help them to make informed decisions on their particular problems. The handbook is divided into several parts. Each part starts with an introduction written by the two editors. These introductions set the general framework for the main topic of each part and introduces the contribution of each chapter within the framework. The introductions are followed by several chapters written by established experts of the field. Each chapter provides the reader with a clear overview of the topic and of the state of the art in techniques used (including elements of comparison between them). Each chapter is structured in the same way: It starts with an introductory text, concludes with a summary of the main points addressed in the chapter and ends with a comprehensive list of references. Whenever appropriate, the authors include specific sections describing and pointing to consolidated software and/or reference datasets. Numerous cross-references between the chapters ensure this is a truly integrated work, without unnecessary duplications and overlaps between chapters. This reference work is intended for the use by a wide audience of readers from around the world such as graduate students, researchers, librarians, lecturers, professionals, and many other people. Computer science Text processing (Computer scienc) Translators (Computer programs) Computer vision Optical pattern recognition Computer industry Doermann David Tombre Karl https://doi.org/10.1007/978-0-85729-859-1 Full text for the University of St. Gallen BK020053 XK020053 XK020000 noalma ids I IDSSG HSG HSG ONL HONL000655350 IDSSG 700 1- Doermann David IDSSG 700 1- Tombre Karl IDSSG 856 4- https://doi.org/10.1007/978-0-85729-859-1 Full text for the University of St. Gallen SWISSBIB 317106163