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Guide to OCR for Indic Scripts
. Ed(S): Govindaraju, Venu; Setlur, Srirangaraj
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Description for Guide to OCR for Indic Scripts
Paperback. This is the first comprehensive text on Optical Character Recognition for Indic scripts. It covers many topics and describes OCR systems for eight different scripts-Bangla, Devanagari, Gurmukhi, Gujarti, Kannada, Malayalam, Tamil and Urdu. Editor(s): Govindaraju, Venu; Setlur, Srirangaraj. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 346 pages, 150 black & white illustrations, 11 colour illustrations, 57 black & white tables, biogra. BIC Classification: UGD. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 534.
Theoriginalmotivationsfordevelopingopticalcharacterrecognitiontechnologies weremodesttoconvertprintedtexton?atphysicalmediatodigitalform,prod- ingmachine-readabledigitalcontent. Bydoingthis,wordsthathadbeeninertand bound to physical material would be brought into the digital realm and thus gain newandpowerfulfunctionalitiesandanalyticalpossibilities. First-generation digital OCR researchers in the 1970s quickly realized that by limiting their ambitions primarily to contemporary documents printed in st- dard font type from the modern Roman alphabet (and of these, mostly English language materials), they were constraining the possibilities for future research andtechnologiesconsiderably. Domainresearchersalsosawthatthetrajectoryof OCR technologies if left unchanged would exclude a large portion of the human record. Digitalconversionofdocumentsandmanuscriptsinotheralphabets,scripts, and cursive styles was of critical importance. Embedded in non-Roman alp- bet source documents, including ancient manuscripts, papyri scrolls, clay ... Read more
Theoriginalmotivationsfordevelopingopticalcharacterrecognitiontechnologies weremodesttoconvertprintedtexton?atphysicalmediatodigitalform,prod- ingmachine-readabledigitalcontent. Bydoingthis,wordsthathadbeeninertand bound to physical material would be brought into the digital realm and thus gain newandpowerfulfunctionalitiesandanalyticalpossibilities. First-generation digital OCR researchers in the 1970s quickly realized that by limiting their ambitions primarily to contemporary documents printed in st- dard font type from the modern Roman alphabet (and of these, mostly English language materials), they were constraining the possibilities for future research andtechnologiesconsiderably. Domainresearchersalsosawthatthetrajectoryof OCR technologies if left unchanged would exclude a large portion of the human record. Digitalconversionofdocumentsandmanuscriptsinotheralphabets,scripts, and cursive styles was of critical importance. Embedded in non-Roman alp- bet source documents, including ancient manuscripts, papyri scrolls, clay ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer London Ltd United Kingdom
Number of pages
346
Condition
New
Series
Advances in Computer Vision and Pattern Recognition
Number of Pages
325
Place of Publication
England, United Kingdom
ISBN
9781447125181
SKU
V9781447125181
Shipping Time
Usually ships in 15 to 20 working days
Ref
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