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arxiv: 1609.02687 · v1 · pith:DCBXS3VJnew · submitted 2016-09-09 · 💻 cs.IR

Extraction of Layout Entities and Sub-layout Query-based Retrieval of Document Images

classification 💻 cs.IR
keywords documententitiesimageslayoutmatchingsegmentationsub-layoutsub-layouts
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Layouts and sub-layouts constitute an important clue while searching a document on the basis of its structure, or when textual content is unknown/irrelevant. A sub-layout specifies the arrangement of document entities within a smaller portion of the document. We propose an efficient graph-based matching algorithm, integrated with hash-based indexing, to prune a possibly large search space. A user can specify a combination of sub-layouts of interest using sketch-based queries. The system supports partial matching for unspecified layout entities. We handle cases of segmentation pre-processing errors (for text/non-text blocks) with a symmetry maximization-based strategy, and accounting for multiple domain-specific plausible segmentation hypotheses. We show promising results of our system on a database of unstructured entities, containing 4776 newspaper images.

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