LEADER 06144nam 22008055 450 001 9910299052903321 005 20200704050242.0 010 $a0-85729-859-3 024 7 $a10.1007/978-0-85729-859-1 035 $a(CKB)3710000000119054 035 $a(DE-He213)978-0-85729-859-1 035 $a(SSID)ssj0001237534 035 $a(PQKBManifestationID)11951025 035 $a(PQKBTitleCode)TC0001237534 035 $a(PQKBWorkID)11258216 035 $a(PQKB)11395245 035 $a(MiAaPQ)EBC3095778 035 $a(Au-PeEL)EBL3095778 035 $a(CaPaEBR)ebr10969051 035 $a(OCoLC)892538598 035 $a(PPN)178778052 035 $a(EXLCZ)993710000000119054 100 $a20140512d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Document Image Processing and Recognition$b[electronic resource] /$fedited by David Doermann, Karl Tombre 205 $a1st ed. 2014. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2014. 215 $a1 online resource (XXI, 1055 p. 339 illus., 159 illus. in color. eReference.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-85729-860-7 311 $a0-85729-858-5 327 $aA Brief History of Documents and Writing Systems -- Document Creation, Image Acquisition and Document Quality -- Imaging Techniques in Document Analysis Processes -- Page Segmentation Techniques in Document Analysis -- Analysis of the Logical Layout of Documents -- Page Similarity and Classification -- Text Segmentation for Document Recognition -- Font, Script, and Language Recognition -- Handprinted Character and Word Recognition -- Continuous Handwritten Script Recognition -- Middle Eastern Character Recognition -- Asian Character Recognition -- Post-processing of OCR-ed text -- Graphics Recognition Techniques -- An Overview of Symbol Recognition -- Analysis and Interpretation of Graphical Documents -- Logo and Trademark Recognition -- Recognition of Tables and Forms -- Processing Mathematical Notation -- Document Analysis in Postal Applications and Check Processing -- Digital Library Projects and Historical Documents -- Analysis and Recognition of Music Scores -- Document Analysis for Biometrics and Forensics -- Analysis of Documents Born Digital -- Image Based Retrieval and Keyword Spotting in Documents -- Text Localization and Recognition in Images and Video -- Online Handwriting Recognition -- Online Signature Verification -- Sketching Interfaces -- Datasets and Annotations for Document Analysis and Recognition -- Tools and Metrics for Document Analysis Systems Evaluation. 330 $aThe 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. 606 $aOptical data processing 606 $aPattern recognition 606 $aNatural language processing (Computer science) 606 $aComputer industry 606 $aComputers 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aThe Computer Industry$3https://scigraph.springernature.com/ontologies/product-market-codes/I24016 606 $aHistory of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I24024 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aNatural language processing (Computer science). 615 0$aComputer industry. 615 0$aComputers. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aNatural Language Processing (NLP). 615 24$aNatural Language Processing (NLP). 615 24$aThe Computer Industry. 615 24$aHistory of Computing. 676 $a006.6 676 $a006.37 702 $aDoermann$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTombre$b Karl$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299052903321 996 $aHandbook of Document Image Processing and Recognition$92050605 997 $aUNINA