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 ...
Poncelas Vargas, José David(Universitat Politècnica de València, 2023-06-21)
[ES] El principal objetivo que se va a tratar en este proyecto es el desarrollar una herramienta para la detección, clasificación y seguimiento de vehículos en vídeos obtenidos a partir de cámaras de tráfico. De esta forma, ...
[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 ...
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from the field of ASR; i.e. those based on Hidden Markov Models (HMMs). Additionally, it will be described a HTR approach based ...
Alkhoury, Ihab; Giménez Pastor, Adrián; Andrés Ferrer, Jesús; Juan Císcar, Alfonso; Sánchez Peiró, Joan Andreu(US National Institute of Standards and Technology (NIST), 2013-08-23)
The NIST Open Handwriting Recognition and
Translation Evaluation 2013 (NIST OpenHaRT’13) is a performance
evaluation assessing technologies that transcribe and
translate text in document images. This evaluation is focused ...
[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 ...