[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 ...
Giménez Pastor, Adrián(Universitat Politècnica de València, 2014-06-09)
In last years Hidden Markov Models (HMMs) have received significant attention in the
task off-line handwritten text recognition (HTR). As in automatic speech recognition (ASR),
HMMs are used to model the probability of ...
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 ...