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Comparative study of HMM and BLSTM segmentation-free approaches for the recognition of handwritten text-lines

Olivier Morillot 1, 2 Laurence Likforman-Sulem 3 Emmanuèle Grosicki 
1 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
3 LTCI - Laboratoire Traitement et Communication de l'Information
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Conference papers
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https://hal.telecom-paris.fr/hal-02412003
Contributor : TelecomParis HAL Connect in order to contact the contributor
Submitted on : Sunday, December 15, 2019 - 12:41:18 PM
Last modification on : Tuesday, May 24, 2022 - 5:12:01 PM

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  • HAL Id : hal-02412003, version 1

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INSTITUT-TELECOM | CNRS | PARISTECH | LTCI | IDS | S2A

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Olivier Morillot, Laurence Likforman-Sulem, Emmanuèle Grosicki. Comparative study of HMM and BLSTM segmentation-free approaches for the recognition of handwritten text-lines. ICDAR 2013, Aug 2013, Washington, United States. ⟨hal-02412003⟩

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