Publication details

JBIG2 Supported by OCR



Year of publication 2012
Type Article in Proceedings
Conference CEUR Workshop Proceedings, Volume 921
MU Faculty or unit

Faculty of Informatics

Web Full text
Field Informatics
Keywords jbig2enc; JBIG2; PDF size optimization; compression; DML; OCR; pdfJbIm; DML-CZ; EuDML
Attached files
Description 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.
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