Document image retrieval with morphology-based segmentation and features combination

Tiago C. Bockholt; George D. C. Cavalcanti; Carlos A. B. Mello

doi:10.1117/12.876727

24 January 2011 Document image retrieval with morphology-based segmentation and features combination

Tiago C. Bockholt, George D. C. Cavalcanti, Carlos A. B. Mello

Proceedings Volume 7874, Document Recognition and Retrieval XVIII; 787415 (2011) https://doi.org/10.1117/12.876727
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Digital libraries need more than just a retrieval based on keywords, which can be inefficient for some applications. Thus, a document retrieval based on content of the digitized image version of the document can be a more appropriated approach. This paper discusses the retrieval of document images by means of identifying a variety of elements present in the document's image body. We propose a new strategy to identify and combine features extracted from a document image. We also consider the task of constructing an optimized feature set to improve the retrieval performance and to validate our experiments on an assorted database. Experimental results show that the proposed segmentation together with a wisely feature combination increase the overall retrieval performance. Moreover the retrieved images demonstrate the generality and effectiveness of our approach for an efficient segmentation and classification of document images.

Citation Download Citation

Tiago C. Bockholt, George D. C. Cavalcanti, and Carlos A. B. Mello "Document image retrieval with morphology-based segmentation and features combination", Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 787415 (24 January 2011); https://doi.org/10.1117/12.876727

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