FROM PIXELS TO TRUE XML STRUCTURES IN DIGITAL DOCUMENT IMAGES
Y. Matthew, Jinhong K. Guo, Patrick S. P. Wang
Abstract
Y. Matthew, Jinhong K. Guo, Patrick S. P. Wang
Abstract
XML has been widely used as metadata for image retrieval. As a standard, it makes it easier to index and retrieve information across different platforms. However, how to automatically convert an image into XML format remains a challenge. In this paper, a system for generating structured document in XML from digitally captured document images is presented. The system is aimed at providing an easy to use tool for average users without requiring depth of knowledge in the document processing areas. Further, a XML/XSL generator is developed to accurately represent a document in a XML structure, yet in a representation that reflects its original layout.
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XML has been widely used as metadata for image retrieval. As a standard, it makes it easier to index and retrieve information across different platforms. However, how to automatically convert an image into XML format remains a challenge. In this paper, a system for generating structured document in XML from digitally captured document images is presented. The system is aimed at providing an easy to use tool for average users without requiring depth of knowledge in the document processing areas. Further, a XML/XSL generator is developed to accurately represent a document in a XML structure, yet in a representation that reflects its original layout.
Key concepts: Computer science, Document Structure Description, XML validation, Simple API for XML, Efficient XML Interchange, Information retrieval, Well-formed document, XML