LEADER 05114nam 2200637 450 001 9910483791603321 005 20211008132436.0 010 $a3-540-78199-4 024 7 $a10.1007/978-3-540-78199-8 035 $a(CKB)1000000000490332 035 $a(SSID)ssj0000316313 035 $a(PQKBManifestationID)11261615 035 $a(PQKBTitleCode)TC0000316313 035 $a(PQKBWorkID)10264023 035 $a(PQKB)11222228 035 $a(DE-He213)978-3-540-78199-8 035 $a(MiAaPQ)EBC3063021 035 $a(MiAaPQ)EBC6511647 035 $a(Au-PeEL)EBL6511647 035 $a(OCoLC)234312701 035 $a(PPN)123745888 035 $a(EXLCZ)991000000000490332 100 $a20211008d2008 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aArabic and Chinese handwriting recognition $eSACH 2006 summit, College Park, MD, USA, September 27-28, 2006 : selected papers /$fDavid Doermann, Stefan Jaeger (eds.) 205 $a1st ed. 2008. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer,$d[2008] 210 4$dİ2008 215 $a1 online resource (VIII, 279 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v4768 300 $aIncludes index. 311 $a3-540-78198-6 320 $aIncludes bibliographical references and index. 327 $aVisual 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. 330 $aIn the fall of 2006, the University of Maryland, along with various government and industrial sponsors, invited leading researchers from all over the world to a two-day Summit on Arabic and Chinese Handwriting Recognition (SACH 2006). The event acted as a complement to the biennial Symposium on Document Image Understanding Technology (SDIUT), providing a focused glimpse into the state of the art in Arabic and Chinese handwriting recognition. It offered a forum for interaction with prominent researchers at the forefront of the scientific community and provided an opportunity for participants to help explore possible directions of the field. This book is a result of the expansion, peer review, and revision of selected papers presented at this meeting. Handwriting recognition remains the Holy Grail of document analysis, and Arabic and Chinese scripts embrace many of the most significant challenges. We are pleased to have 16 scientific papers covering the original topics of handwritten Arabic and Chinese, as well as 2 papers covering other handwritten scripts. We asked each author to not only describe the techniques used in addressing the problem, but to attempt to identify the key research challenges and problems that the community faces. The result is an impressive collection of manuscripts that provide various detailed views of the state of research. In this book, six articles deal directly with Arabic handwriting. ? Cheriet provides an overview of the problems of Arabic recognition and how systems can use natural language processing techniques to correct errors in lexicon-based systems. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v4768 606 $aOptical character recognition devices$vCongresses 606 $aChinese language$xWriting$xData processing$vCongresses 606 $aWriting, Arabic$xData processing$vCongresses 615 0$aOptical character recognition devices 615 0$aChinese language$xWriting$xData processing 615 0$aWriting, Arabic$xData processing 676 $a006.424 702 $aJa?ger$b Stefan 702 $aDoermann$b David S$g(David Scott), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483791603321 996 $aArabic and Chinese Handwriting Recognition$9774413 997 $aUNINA