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@inproceedings{1076465, author = {Hatlapatka, Radim}, address = {Brno}, booktitle = {DML 2012: Towards a Digital Mathematics Library}, editor = {Petr Sojka, Michael Kohlhase}, keywords = {jbig2enc; JBIG2; PDF size optimization; compression; DML; OCR; pdfJbIm; DML-CZ; EuDML}, language = {eng}, location = {Brno}, publisher = {Masaryk University}, title = {JBIG2 Supported by OCR}, year = {2012} }
TY - JOUR ID - 1076465 AU - Hatlapatka, Radim PY - 2012 TI - JBIG2 Supported by OCR PB - Masaryk University CY - Brno KW - jbig2enc KW - JBIG2 KW - PDF size optimization KW - compression KW - DML KW - OCR KW - pdfJbIm KW - DML-CZ KW - EuDML 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 Petr Sojka, Michael Kohlhase. \textit{DML 2012: Towards a Digital Mathematics Library}. Brno: Masaryk University, 2012.
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