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KeyWord Spotting using Siamese Triplet Deep Neural Networks

Authors
  • Eglin, Véronique
  • Serdouk, Yasmine
  • Bres, Stéphane
  • Pardoen, Mylène
Publication Date
Sep 20, 2019
Source
HAL
Keywords
Language
English
License
Unknown
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Abstract

Deep neural networks has shown great success incomputer vision fields by achieving considerable state-of-the-artresults and are beginning to arouse big interest in the documentanalysis community. In this paper, we present a novel siamesedeep network of three inputs that allows retrieving the mostsimilar words to a given query. The proposed system followsa query-by-example approach according to a segmentation-based technique and aims to learn suitable representations ofhandwritten word images, for which a simple Euclidean distancecould perform the matching. The results obtained for the GeorgeWashington dataset show the potential and the effectiveness ofthe proposed keyword spotting system

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