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An approach to intelligent information filtering in Chinese document images based on garbage model

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3 Author(s)
Chen Jiewei ; Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., China ; Xu Weiran ; Guo Jun

A fast approach to Chinese document image filtering is presented. Garbage models are built by keyword clustering prior to keyword searching. The retrieval process is accelerated by the Boyer-Moore algorithm. A character is classified as accepted or rejected by the distance from the garbage models. A confidence measure ensures precision. Document vectors are built, based on keyword spotting from the document image. We obtain the score of the document image by means of a vector space model. Experimental results confirmed the robustness of the proposed approach over a wide range of degradations.

Published in:

Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on

Date of Conference:

20-22 Oct. 2004