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Keyword spotting in handwritten documents based on a generic text line HMM and a SVM verification

Abstract : In this paper, we propose a novel system for keyword spotting in handwritten documents. Our approach proceeds in two steps: first a generic text line HMM provides a simple and flexible tool to localize the keyword and its character boundaries. In the second step, a SVM based verification system estimates and combines the character probabilities to provide keyword confidence scores which are further combined with the HMM score. The system has been evaluated on a public handwritten document database used for the 2011 ICDAR handwriting recognition competitions and shows that the verification stage improves the performance and outperforms some other state-of-the-art approaches.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02087617
Contributor : Thierry Paquet <>
Submitted on : Tuesday, April 2, 2019 - 11:33:07 AM
Last modification on : Tuesday, June 23, 2020 - 12:30:05 PM

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Yousri Kessentini, Thierry Paquet. Keyword spotting in handwritten documents based on a generic text line HMM and a SVM verification. 2015 13th International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Tunis, France. pp.41-45, ⟨10.1109/ICDAR.2015.7333722⟩. ⟨hal-02087617⟩

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