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Decomposing Document Images by Heuristic Search
BibTeX
@MISC{Gao_decomposingdocument,
author = {Dashan Gao and Yizhou Wang and Dashan Gao and Yizhou Wang},
title = {Decomposing Document Images by Heuristic Search},
year = {}
}
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Abstract
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. It first generates overlapping zone hypotheses based on generic visual features. Then, each candidate zone is evaluated quantitatively by a learned generative zone model. We infer the optimal set of non-overlapping zones that covers a given document image by a heuristic search algorithm. The experimental results demonstrate that the proposed method is very robust to document structure variation and noise.
Keyphrases
document image heuristic search generic visual feature many document related application structure variation document decomposition optimal set crucial step non-overlapping zone learned generative zone model novel approach heuristic search algorithm candidate zone experimental result zone hypothesis
