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Proceedings Paper

Unified design of symbol-matching-based document image compression and merging system
Author(s): Xing Zhang; Jian Zhang
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Paper Abstract

This paper describes a document image compression and merging system, which provides capabilities for automatically indexing from documents to form a document library and for merging the partial image of a document page. Because of the nature of document images, the technique described in this paper is intended to be used to process bi-level text images. The key technology for image merging is correlation analysis. State- of-the-art techniques exist to merge gray-scale and color natural image. However, these techniques do not apply for document image containing much text and they fail too often when used to merge document images regardless of their computational intensive nature. The proposed system solution will provide a reliable correlation analysis technique for document image merging where only bi-level images are primarily available.

Paper Details

Date Published: 21 December 2000
PDF: 9 pages
Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); doi: 10.1117/12.410834
Show Author Affiliations
Xing Zhang, Motorola (Australia)
Jian Zhang, Motorola (Australia)


Published in SPIE Proceedings Vol. 4307:
Document Recognition and Retrieval VIII
Paul B. Kantor; Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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