Guide ocr indic scripts (21 resultados)
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Editorial: Springer 2012
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Taschenbuch. Condición: Neu. Guide to OCR for Indic Scripts | Document Recognition and Retrieval | Venu Govindaraju (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xxi | Englisch | 2012 | Springer | EAN 9781447125181 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121… Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optical Character Recognition (OCR) is a key enabling technology critical to creating indexed, digital library content, and it is especially valuable for Indic scripts, for which there has been very little digital access. Indic scripts, the ancient… Brahmi scripts prevalent in the Indian subcontinent, present some challenges for OCR that are different from those faced with Latin and Oriental scripts. But properly utilized, OCR will help to make Indic digital archives practically accessible to researchers and lay users alike by creating searchable indexes and machine-readable text repositories. This unique guide/reference is the very first comprehensive book on the subject of OCR for Indic scripts, providing an overview of the state-of-the-art research in this field as well as other issues related to facilitating query and retrieval of Indic documents from digital libraries. All major research groups working in this area are represented in this book, which is divided into sections on recognition of Indic scripts and retrieval of Indic documents.Topics and features:Contains contributions from the leading researchers in the fieldDiscusses data set creation for OCR developmentDescribes OCR systems that cover eight different scripts: Bangla, Devanagari, Gurmukhi, Gujarati, Kannada, Malayalam, Tamil, and Urdu (Perso-Arabic)Explores the challenges of Indic script handwriting recognition in the online domainExamines the development of handwriting-based text input systemsDescribes ongoing work to increase access to Indian cultural heritage materialsProvides a section on the enhancement of text and images obtained from historical Indic palm leaf manuscriptsInvestigates different techniques for word spotting in Indic scriptsReviews mono-lingual and cross-lingual information retrieval in Indic languagesThis is an excellent reference for researchers and graduate students studying OCR technology and methodologies. This volume will contribute to opening up the rich Indian cultural heritage embodied in millions of ancient and contemporary documents spanning topics such as science, literature, medicine, astronomy, mathematics and philosophy. Venu Govindaraju FIEEE FIAPR, is a Distinguished Professor of Computer Science and Engineering at the University at Buffalo. He has over 20 years of research experience in pattern recognition, information retrieval and biometrics. His seminal work on handwriting recognition was at the core of the first handwritten address interpretation system used by the U.S. Postal Service.Srirangaraj Setlur SMIEEE, is a Principal Research Scientist at the University at Buffalo. He has over 15 years of research experience in pattern recognition that includes NSF sponsored work on multilingual OCR technologies for digital libraries and other applications. His work on postal automation has led to technology adopted by the U.S. Postal Service, and Royal Mail in the U.K.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | ofresearchers,scholars,andstudentsuseanddependuponInternet-basedcontent andcomputationalresources. Thechaptersinthisbookdescribeacriticallyimportantareaofinvestigation¿ addressingconversionofIndicscriptintomachine-readableform. Roughe…stimates 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.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optical Character Recognition (OCR) is a key enabling technology critical to creating indexed, digital library content, and it is especially valuable for Indic scripts, for which there has been very little digital access. Indic scripts, the ancient Brahmi… scripts prevalent in the Indian subcontinent, present some challenges for OCR that are different from those faced with Latin and Oriental scripts. But properly utilized, OCR will help to make Indic digital archives practically accessible to researchers and lay users alike by creating searchable indexes and machine-readable text repositories. This unique guide/reference is the very first comprehensive book on the subject of OCR for Indic scripts, providing an overview of the state-of-the-art research in this field as well as other issues related to facilitating query and retrieval of Indic documents from digital libraries. All major research groups working in this area are represented in this book, which is divided into sections on recognition of Indic scripts and retrieval of Indic documents.Topics and features:Contains contributions from the leading researchers in the fieldDiscusses data set creation for OCR developmentDescribes OCR systems that cover eight different scripts: Bangla, Devanagari, Gurmukhi, Gujarati, Kannada, Malayalam, Tamil, and Urdu (Perso-Arabic)Explores the challenges of Indic script handwriting recognition in the online domainExamines the development of handwriting-based text input systemsDescribes ongoing work to increase access to Indian cultural heritage materialsProvides a section on the enhancement of text and images obtained from historical Indic palm leaf manuscriptsInvestigates different techniques for word spotting in Indic scriptsReviews mono-lingual and cross-lingual information retrieval in Indic languagesThis is an excellent reference for researchers and graduate students studying OCR technology and methodologies. This volume will contribute to opening up the rich Indian cultural heritage embodied in millions of ancient and contemporary documents spanning topics such as science, literature, medicine, astronomy, mathematics and philosophy. Venu Govindaraju FIEEE FIAPR, is a Distinguished Professor of Computer Science and Engineering at the University at Buffalo. He has over 20 years of research experience in pattern recognition, information retrieval and biometrics. His seminal work on handwriting recognition was at the core of the first handwritten address interpretation system used by the U.S. Postal Service.Srirangaraj Setlur SMIEEE, is a Principal Research Scientist at the University at Buffalo. He has over 15 years of research experience in pattern recognition that includes NSF sponsored work on multilingual OCR technologies for digital libraries and other applications. His work on postal automation has led to technology adopted by the U.S. Postal Service, and Royal Mail in the U.K.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optical Character Recognition (OCR) is a key enabling technology critical to creating indexed, digital library content, and it is especially valuable for Indic scripts, for which there has been very little digital access. Indic scri…pts, the ancient Brahmi scripts prevalent in the Indian subcontinent, present some challenges for OCR that are different from those faced with Latin and Oriental scripts. But properly utilized, OCR will help to make Indic digital archives practically accessible to researchers and lay users alike by creating searchable indexes and machine-readable text repositories. This unique guide/reference is the very first comprehensive book on the subject of OCR for Indic scripts, providing an overview of the state-of-the-art research in this field as well as other issues related to facilitating query and retrieval of Indic documents from digital libraries. All major research groups working in this area are represented in this book, which is divided into sections on recognition of Indic scripts and retrieval of Indic documents.Topics and features:Contains contributions from the leading researchers in the fieldDiscusses data set creation for OCR developmentDescribes OCR systems that cover eight different scripts: Bangla, Devanagari, Gurmukhi, Gujarati, Kannada, Malayalam, Tamil, and Urdu (Perso-Arabic)Explores the challenges of Indic script handwriting recognition in the online domainExamines the development of handwriting-based text input systemsDescribes ongoing work to increase access to Indian cultural heritage materialsProvides a section on the enhancement of text and images obtained from historical Indic palm leaf manuscriptsInvestigates different techniques for word spotting in Indic scriptsReviews mono-lingual and cross-lingual information retrieval in Indic languagesThis is an excellent reference for researchers and graduate students studying OCR technology and methodologies. This volume will contribute to opening up the rich Indian cultural heritage embodied in millions of ancient and contemporary documents spanning topics such as science, literature, medicine, astronomy, mathematics and philosophy. Venu Govindaraju FIEEE FIAPR, is a Distinguished Professor of Computer Science and Engineering at the University at Buffalo. He has over 20 years of research experience in pattern recognition, information retrieval and biometrics. His seminal work on handwriting recognition was at the core of the first handwritten address interpretation system used by the U.S. Postal Service.Srirangaraj Setlur SMIEEE, is a Principal Research Scientist at the University at Buffalo. He has over 15 years of research experience in pattern recognition that includes NSF sponsored work on multilingual OCR technologies for digital libraries and other applications. His work on postal automation has led to technology adopted by the U.S. Postal Service, and Royal Mail in the U.K. 348 pp. Englisch.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optical Character Recognition (OCR) is a key enabling technology critical to creating indexed, digital library content, and it is especially valuable for Indic scripts, for which there has been very little digital access. Indic scripts, th…e ancient Brahmi scripts prevalent in the Indian subcontinent, present some challenges for OCR that are different from those faced with Latin and Oriental scripts. But properly utilized, OCR will help to make Indic digital archives practically accessible to researchers and lay users alike by creating searchable indexes and machine-readable text repositories. This unique guide/reference is the very first comprehensive book on the subject of OCR for Indic scripts, providing an overview of the state-of-the-art research in this field as well as other issues related to facilitating query and retrieval of Indic documents from digital libraries. All major research groups working in this area are represented in this book, which is divided into sections on recognition of Indic scripts and retrieval of Indic documents.Topics and features:Contains contributions from the leading researchers in the fieldDiscusses data set creation for OCR developmentDescribes OCR systems that cover eight different scripts: Bangla, Devanagari, Gurmukhi, Gujarati, Kannada, Malayalam, Tamil, and Urdu (Perso-Arabic)Explores the challenges of Indic script handwriting recognition in the online domainExamines the development of handwriting-based text input systemsDescribes ongoing work to increase access to Indian cultural heritage materialsProvides a section on the enhancement of text and images obtained from historical Indic palm leaf manuscriptsInvestigates different techniques for word spotting in Indic scriptsReviews mono-lingual and cross-lingual information retrieval in Indic languagesThis is an excellent reference for researchers and graduate students studying OCR technology and methodologies. This volume will contribute to opening up the rich Indian cultural heritage embodied in millions of ancient and contemporary documents spanning topics such as science, literature, medicine, astronomy, mathematics and philosophy. Venu Govindaraju FIEEE FIAPR, is a Distinguished Professor of Computer Science and Engineering at the University at Buffalo. He has over 20 years of research experience in pattern recognition, information retrieval and biometrics. His seminal work on handwriting recognition was at the core of the first handwritten address interpretation system used by the U.S. Postal Service.Srirangaraj Setlur SMIEEE, is a Principal Research Scientist at the University at Buffalo. He has over 15 years of research experience in pattern recognition that includes NSF sponsored work on multilingual OCR technologies for digital libraries and other applications. His work on postal automation has led to technology adopted by the U.S. Postal Service, and Royal Mail in the U.K. 348 pp. Englisch.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First comprehensive book on the topic of Indic Script OCRsPart I: Recognition of Indic Scripts Building Data Sets for Indian Language OCR ResearchC. V. Jawahar, Anand Kumar, A. Phaneendra and K.J. Jinesh On…OCR of major Indian scripts: Bangla a.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First comprehensive book on the topic of Indic Script OCRsPart I: Recognition of Indic Scripts Building Data Sets for Indian Language OCR ResearchC. V. Jawahar, Anand Kumar, A. Phaneendra and K.J. Jinesh On OCR of maj…or Indian scripts: Bangla a.
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Buch. Condición: Neu. Guide to OCR for Indic Scripts | Document Recognition and Retrieval | Venu Govindaraju (u. a.) | Buch | Advances in Computer Vision and Pattern Recognition | xxi | Englisch | 2009 | Springer | EAN 9781848003293 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch.
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Serie: Advances in Computer Vision and Pattern Recognition, Libro 10 de 86. Libro 10 de 86 - Advances in Computer Vision and Pattern Recognition
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 Process…ing 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 348 pp. Englisch.
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Condición: New. PRINT ON DEMAND pp. 348.
