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- W2885201322 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 our previous works to allow for page-level search of queries consisting in Boolean combinations of several single-keywords. We propose heuristic rules to combine the single-word relevance probabilities into probabilistically consistent confidence scores of the multi-word boolean combinations. An empirical study, also presented in this paper, evaluates the search performance of word-pair queries involving AND and OR Boolean operations. Results of this study support the proposed approach and clearly show its effectiveness. Finally, a web-based demonstration system based on the proposed methods is presented." @default.
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- W2885201322 date "2018-08-03" @default.
- W2885201322 modified "2023-10-16" @default.
- W2885201322 title "Probabilistic multi-word spotting in handwritten text images" @default.
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- W2885201322 doi "https://doi.org/10.1007/s10044-018-0742-z" @default.
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