Arabic Printed Word Recognition Using Windowed Bernoulli HMMs

Autor: Adrià Giménez, Alfons Juan, Ihab Khoury, Jesús Andrés-Ferrer

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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Image Analysis and Processing – ICIAP 2013 ISBN: 9783642411809
ICIAP (1)

[EN] Hidden Markov Models (HMMs) are now widely used for off-line text recognition in many languages and, in particular, Arabic. In previous work, we proposed to directly use columns of raw, binary image pixels, which are directly fed into embedded B

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f0efef5c7460cc22f84dffb7129729f
https://doi.org/10.1007/978-3-642-41181-6_34