Simple and effective multi-word query spotting in handwritten text images

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Abstract

Keyword spotting techniques are becoming cost-effective solutions for information retrieval in handwritten documents. We explore the extension of the single-word, line-level probabilistic indexing approach described in [1, 2] to allow page-level Boolean combinations of several single-keyword queries. We propose heuristic rules to combine the single-word relevance probabilities into probabilistically consistent confidence scores of the multi-word boolean combinations. As a preliminary study, this paper focuses on evaluating the search performance of word-pair queries involving just one OR or AND Boolean operation. Empirical results of this study support the proposed approach and clearly show its effectiveness.

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Noya-García, E., Toselli, A. H., & Vidal, E. (2017). Simple and effective multi-word query spotting in handwritten text images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10255 LNCS, pp. 76–84). Springer Verlag. https://doi.org/10.1007/978-3-319-58838-4_9

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