• Journal of Korean Society of Archives and Records Management
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• v.5 no.1
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• pp.65-77
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• 2005

This paper aims to introduce the background history and development of records management in brief prior to and after the 1990s based on the records life cycle. This paper also explains the development of electronic document imaging systems and shifts to ERM systemsin the 1990s. The paper explains functional requirements in archival management and software application standards suggested by the industry of electronic records management. The paper concludes with providing problems and issues associated with software design in electronic records management for further development.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.2
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• pp.65-76
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• 2004

Today, most documents are electronically produced and their paleography is digitalized by imaging, resulting in a tremendous number of electronic documents in the shape of images. Therefore, to process these document images, many methods of document structure analysis and recognition have already been proposed, including font classification. Accordingly, the current paper proposes a font classification method for document images that uses non-negative matrix factorization (NMF), which is able to learn part-based representations of objects. In the proposed method, spatially total features of font images are automatically extracted using NMF, then the appropriateness of the features specifying each font is investigated. The proposed method is expected to improve the performance of optical character recognition (OCR), document indexing, and retrieval systems, when such systems adopt a font classifier as a preprocessor.