A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Off-Line Arabic Handwritten Characters Recognition Based on a Hidden Markov Models
[chapter]
2008
Lecture Notes in Computer Science
We present a system based on Hidden Markov Models (HMMs) for offline isolated Arabic handwritten characters recognition. The Hough accumulator of the character image is partitioned into equal horizontal bands that will be used to extract directional information. This information is translated into sequences of observations that are used to train the model for each character during the learning step. Résumé Nous présentons dans ce travail un système à base de Modèles de Markov cachée (HMMs) pour
doi:10.1007/978-3-540-69905-7_51
fatcat:t4y267wg6bb2zmwwtwww3dn7ly