Alkhoury, Ihab(Universitat Politècnica de València, 2011-09-06)
This thesis presents new approaches in off-line Arabic Handwriting Recognition based on
conventional Bernoulli Hidden Markov models. Until now, the off-line handwriting
recognition, in particular, the Arabic handwriting ...
[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 ...
Alkhoury, Ihab(Universitat Politècnica de València, 2013-10-28)
To our knowledge, there are only few systems that are able to automatically
translate handwritten text images into another language, in particular,
Arabic. Typically, the available systems are based on a concatenation ...
Alkhoury, Ihab(Universitat Politècnica de València, 2015-07-13)
[EN] Research on Arabic Handwritten Text Recognition (HTR) and Arabic-English Machine Translation (MT) has been usually approached as two independent areas of study. However, the idea of creating one system that combines ...
Doetsch, Patrick; Hamdani, Mahdi; Ney, Hermann; Giménez Pastor, Adrián; Andrés Ferrer, Jesús; Juan Císcar, Alfonso(Institute of Electrical and Electronics Engineers (IEEE), 2012-09-18)
—In this paper a vertical repositioning method
based on the center of gravity is investigated for handwriting
recognition systems and evaluated on databases containing
Arabic and French handwriting. Experiments show ...
[EN] Hidden Markov Models (HMMs) are now widely used for off-line handwriting recognition in many lan-
guages. As in speech recognition, they are usually built from shared, embedded HMMs at symbol level,
where state-conditional ...
[EN] Bernoulli HMMs are conventional HMMs in which the emission probabilities are modeled with Bernoulli mixtures. They have recently been applied, with good results, in off-line text recognition in many languages, in ...