01646nam 2200541Ia 450 991045245390332120200520144314.01-61761-395-9(CKB)2550000001041820(EBL)3019157(SSID)ssj0000853257(PQKBManifestationID)12340039(PQKBTitleCode)TC0000853257(PQKBWorkID)10854739(PQKB)10321645(MiAaPQ)EBC3019157(Au-PeEL)EBL3019157(CaPaEBR)ebr10662964(OCoLC)763163253(EXLCZ)99255000000104182020090924d2010 uy 0engur|n|---|||||txtccrA true tale of science and discovery[electronic resource] /Lawrence A. Curtis ; illustraed by Nathan Lee TannerNew York Nova Science Publishersc20101 online resource (355 p.)Environmental research advances seriesDescription based upon print version of record.1-60876-595-4 Includes bibliographical references and index.Environmental Research AdvancesSnailsDiscoveries in scienceElectronic books.Snails.Discoveries in science.594/.32Curtis Lawrence A910577MiAaPQMiAaPQMiAaPQBOOK9910452453903321A true tale of science and discovery2037932UNINA05112nam 2200637 450 99646607450331620211008132436.03-540-78199-410.1007/978-3-540-78199-8(CKB)1000000000490332(SSID)ssj0000316313(PQKBManifestationID)11261615(PQKBTitleCode)TC0000316313(PQKBWorkID)10264023(PQKB)11222228(DE-He213)978-3-540-78199-8(MiAaPQ)EBC3063021(MiAaPQ)EBC6511647(Au-PeEL)EBL6511647(OCoLC)234312701(PPN)123745888(EXLCZ)99100000000049033220211008d2008 uy 0engurnn|008mamaatxtccrArabic and Chinese handwriting recognition SACH 2006 summit, College Park, MD, USA, September 27-28, 2006 : selected papers /David Doermann, Stefan Jaeger (eds.)1st ed. 2008.Berlin, Germany ;New York, New York :Springer,[2008]©20081 online resource (VIII, 279 p.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;4768Includes index.3-540-78198-6 Includes bibliographical references and index.Visual Recognition of Arabic Handwriting: Challenges and New Directions -- A Review on Persian Script and Recognition Techniques -- Human Reading Based Strategies for Off-Line Arabic Word Recognition -- Versatile Search of Scanned Arabic Handwriting -- A Two-Tier Arabic Offline Handwriting Recognition Based on Conditional Joining Rules -- Databases and Competitions: Strategies to Improve Arabic Recognition Systems -- Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction -- How to Deal with Uncertainty and Variability: Experience and Solutions -- An Efficient Candidate Set Size Reduction Method for Coarse-Classification in Chinese Handwriting Recognition -- Techniques for Solving the Large-Scale Classification Problem in Chinese Handwriting Recognition -- Recent Results of Online Japanese Handwriting Recognition and Its Applications -- Segmentation-Driven Offline Handwritten Chinese and Arabic Script Recognition -- Multi-character Field Recognition for Arabic and Chinese Handwriting -- Multi-lingual Offline Handwriting Recognition Using Hidden Markov Models: A Script-Independent Approach -- Handwritten Character Recognition of Popular South Indian Scripts -- Ensemble Methods to Improve the Performance of an English Handwritten Text Line Recognizer.In the fall of 2006, the University of Maryland, along with various government and industrial sponsors, invited leading researchers from all over the world to a two-day Summit on Arabic and Chinese Handwriting Recognition (SACH 2006). The event acted as a complement to the biennial Symposium on Document Image Understanding Technology (SDIUT), providing a focused glimpse into the state of the art in Arabic and Chinese handwriting recognition. It offered a forum for interaction with prominent researchers at the forefront of the scientific community and provided an opportunity for participants to help explore possible directions of the field. This book is a result of the expansion, peer review, and revision of selected papers presented at this meeting. Handwriting recognition remains the Holy Grail of document analysis, and Arabic and Chinese scripts embrace many of the most significant challenges. We are pleased to have 16 scientific papers covering the original topics of handwritten Arabic and Chinese, as well as 2 papers covering other handwritten scripts. We asked each author to not only describe the techniques used in addressing the problem, but to attempt to identify the key research challenges and problems that the community faces. The result is an impressive collection of manuscripts that provide various detailed views of the state of research. In this book, six articles deal directly with Arabic handwriting. • Cheriet provides an overview of the problems of Arabic recognition and how systems can use natural language processing techniques to correct errors in lexicon-based systems.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;4768Optical character recognition devicesCongressesChinese languageWritingData processingCongressesWriting, ArabicData processingCongressesOptical character recognition devicesChinese languageWritingData processingWriting, ArabicData processing006.424Jäger StefanDoermann David S(David Scott),MiAaPQMiAaPQMiAaPQBOOK996466074503316Arabic and Chinese Handwriting Recognition774413UNISA01021nas a2200277 i 4500991002280359707536m cr 011205m19892000 || | |eng d1096-91281040-3108b1414945x-39ule_instDip.to Matematica e Fisica - Sez. MatematicaengCDU 6Concurrency. Practice and experienceConcurrency. Practice and experience[e-journal]. - 1989-2000.Chichester,1989-2000.Pubblicato anche in formato cartaceoAccesso elettronico: LE013 1989-2000.ISSN (print edition):1040-3108Concurrency and computationhttp://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1532-0634/issuesE-journal (Publisher Site).b1414945x04-03-2201-10-13991002280359707536Concurrency104548UNISALENTOle01301-01-01s# -enguk 00