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@inproceedings{15872,
   author = {Hatlapatka, Radim},
   address = {Aachen},
   article_number = {October},
   booktitle = {CEUR Workshop Proceedings, Volume 921},
   keywords = {jbig2enc; JBIG2; PDF size optimization; compression; DML; OCR; pdfJbIm; DML-CZ; EuDML},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Aachen},
   pages = {82-90},
   publisher = {Neuveden},
   title = {JBIG2 Supported by OCR},
   url = {http://ceur-ws.org/Vol-921/wip-04.pdf},
   volume = {921},
   year = {2012}
}

TY  - JOUR
ID  - 15872
AU  - Hatlapatka, Radim
PY  - 2012
TI  - JBIG2 Supported by OCR
VL  - 921
IS  - October
SP  - 82-90
EP  - 82-90
PB  - Neuveden
CY  - Aachen
KW  - jbig2enc
KW  - JBIG2
KW  - PDF size optimization
KW  - compression
KW  - DML
KW  - OCR
KW  - pdfJbIm
KW  - DML-CZ
KW  - EuDML
UR  - http://ceur-ws.org/Vol-921/wip-04.pdf
N2  - Digital Mathematical libraries contain a large volume of PDF documents containing scanned text. In this paper, we describe how this documents can be compressed and thus provide them more effectively to the users. We introduce a JBIG2 standard for compressing bitonal images such as scanned text and we discuss issues if OCR is used for improving the compression ratio of jbig2enc open-source encoder. For this purpose, we have designed API for using OCR in jbig2enc which we describe in this paper together with already achieved results.
ER  - 

HATLAPATKA, Radim. JBIG2 Supported by OCR. In \textit{CEUR Workshop Proceedings, Volume 921}. Aachen: Neuveden, 2012, s.~82-90. ISSN~1613-0073.