Other formats:
BibTeX
LaTeX
RIS
@inproceedings{986500,
author = {Hatlapatka, Radim},
address = {Aachen},
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},
year = {2012}
}
TY - JOUR
ID - 986500
AU - Hatlapatka, Radim
PY - 2012
TI - JBIG2 Supported by OCR
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
L2 - 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, p.~82-90. ISSN~1613-0073.
|
