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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
Kaleidoscope Open Archive
Keywords
Language
English
License
Unknown
External links

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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