Bültmann & Gerriets
Guide to OCR for Indic Scripts
Document Recognition and Retrieval
von Srirangaraj (Ranga) Setlur, Venu Govindaraju
Verlag: Springer London
Reihe: Advances in Computer Vision and Pattern Recognition
Gebundene Ausgabe
ISBN: 978-1-84800-329-3
Auflage: 2010
Erschienen am 09.10.2009
Sprache: Englisch
Format: 241 mm [H] x 160 mm [B] x 26 mm [T]
Gewicht: 751 Gramm
Umfang: 348 Seiten

Preis: 160,49 €
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Klappentext
Inhaltsverzeichnis

ofresearchers,scholars,andstudentsuseanddependuponInternet-basedcontent andcomputationalresources. Thechaptersinthisbookdescribeacriticallyimportantareaofinvestigation¿ addressingconversionofIndicscriptintomachine-readableform. Roughestimates haveitthatcurrentlymorethanabillionpeopleuseIndicscripts. Collectively,Indic historic and cultural documents contain a vast richness of human knowledge and experience. The state-of-the-art research described in this book demonstrates the multiple values associated with these activities. Technically, the problems associated with Indicscriptrecognitionareverydif?cultandwillcontributetoandinformrelated v vi Foreword scriptrecognitionefforts. Theworkalsohasenormousconsequenceforenriching andenablingthestudyofIndicculturalheritagematerialsandthehistoricrecord of its people. This in turn broadens the intellectual context for domain scholars focusingonothersocieties,ancientandmodern. Digital character recognition has brought about another milestone in coll- tivecommunicationbybringinginert,?xed-in-place,textintoaninteractivedi- talrealm. Indoingso,theinformationhasgainedadditionalfunctionalitieswhich expandourabilitiestoconnect,combine,contextualize,share,andcollaboratively pursue knowledge making. High-quality Internet content continues to grow in an explosivefashion. Inthenewglobalcyberenvironment,thefunctionalitiesandapp- cationsofdigitalinformationcontinuetotransformknowledgeintonewundersta- ingsofhumanexperienceandtheworldinwhichwelive. Thepossibilitiesforthe futurearelimitedonlybyavailableresearchresourcesandcapabilitiesandtheim- inationandcreativityofthosewhousethem. Arlington,Virginia StephenM.



Section: Recognition of Indic scripts.- Building Data Sets for Indian Language OCR Research.- On OCR of Major Indian Scripts: Bangla and Devanagari.- A Complete Machine-Printed Gurmukhi OCR System.- Progress in Gujarati Document Processing and Character Recognition.- Design of a Bilingual Kannada-English OCR.- Recognition of Malayalam Documents.- A Complete OCR System for Tamil Magazine Documents.- Experiments on Urdu Text Recognition.- The BBN Byblos Hindi OCR System.- Generalization of Hindi OCR Using Adaptive Segmentation and Font Files.- Online Handwriting Recognition for Indic Scripts.- Section: Retrieval of Indic documents.- Enhancing Access to Primary Cultural Heritage Materials of India.- Digital Image Enhancement of Indic Historical Manuscripts.- GFG-Based Compression and Retrieval of Document Images in Indian Scripts.- Word Spotting for Indic Documents to Facilitate Retrieval.- Indian Language Information Retrieval.


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