Title :
Model based system for analyzing document images
Author :
Kise, Koichi ; Yamaoka, Masaki ; Babaguchi, Noboru ; Tezuka, Yoshikazu
Author_Institution :
Dept. of Electr. Eng., Univ. of Osaka Prefecture, Japan
fDate :
30 Aug-3 Sep 1992
Abstract :
Document image analysis is the process of deriving logically structured representation of a document by analyzing the layout structure of its image. This paper proposes a knowledge based system for document image analysis which is applicable to various kinds of documents. The characteristics of the system are as follows: (1) The knowledge base called document model encodes only object-level knowledge hierarchically, declaratively and symbolically, aiming at high expressivity and maintainability of the knowledge description; (2) the document model is automatically constructed by referring samples of document images, and incrementally refined by feedback of error information of analysis
Keywords :
document image processing; image coding; knowledge based systems; document images; document model; error information; expressivity; feedback; knowledge based system; layout structure; logically structured representation; maintainability; model based system; Control systems; Feedback; Image analysis; Information analysis; Knowledge based systems; Labeling; Text analysis; User interfaces;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201860