| T. Kanungo, C. H. Lee, J. Czorapinski, and I. Bella. Trueviz: a groundtruth/metadata editing and visualizing toolkit for ocr. In SPIE Conference on Document Recognition and Retrieval. http://www.cfar.umd.edu/#kanungo/software/trueviz-1 0 2.tar.gz, 2001. |
....design would benefit from a modular approach that would open the system and make it easier to design, develop, maintain and upgrade. In previous work, we have described the potential of XML technologies for representing and visualizing document recognition results [4] Like other researchers [10, 8, 6], we think that the use of XML tools and XSLT [2] stylesheets facilitates the exchange of data and supports a modular approach. However, we think that XML could be used to describe not only the results of a document processing, but also the processing itself. In this perspective, we propose to ....
....task is made even more complex by the diversity of data structures used by document understanding algorithms. Although our operators and interactors use a common XML syntax for describing blocks, lines, etc. other softwares usually have their own syntax which can be based on XML, as in TrueViz [6], or on another language such as DAFS [9] XMIllum [5] was designed to address these problems. It combines XSLT stylesheets and Java classes to create interactive presentations of document understanding results described in any XML based syntax. XSLT stylesheets are used to transform these ....
T. Kanungo, C. H. Lee, J. Czorapinski, and I. Bella. TRUEVIZ: a groundtruth/metadata editing and visualizing toolkit for OCR. In Proc. of SPIE Conference on Document Recognition and Retrieval, Jan. 2001.
No context found.
T. Kanungo, C. H. Lee, J. Czorapinski, and I. Bella. Trueviz: a groundtruth/metadata editing and visualizing toolkit for ocr. In SPIE Conference on Document Recognition and Retrieval. http://www.cfar.umd.edu/#kanungo/software/trueviz-1 0 2.tar.gz, 2001.
No context found.
T. Kanungo, C. H. Lee, J. Czorapinski, and I. Bella. "TRUEVIZ: a groundtruth/metadata editing and visualizing toolkit for OCR". In Proc. of SPIE Conference on Document Recognition and Retrieval, Jan. 2001.
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