Title :
Handwritten Arabic word recognition based on Ridgelet transform and support vector machines
Author :
Nemmour, Hassiba ; Chibani, Youcef
Author_Institution :
Signal Process. Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria
Abstract :
We propose a method for handwritten Arabic word recognition based on the combination of the Ridgelet transform and SVMs. Ridgelets are used for generating pertinent features of handwritten words while the classification stage is based on the One-Against-All multiclass implementation of SVMs. The experimental investigation is conducted on a vocabulary of twenty-four words extracted from the ITN/ENIT database. The Ridgelet performance is assessed comparatively to the results obtained for Radon and uniform grid (zoning) features. Results highlight the reliability of the Ridgelet-SVM combination for handwritten Arabic word recognition.
Keywords :
handwriting recognition; handwritten character recognition; natural languages; pattern classification; support vector machines; transforms; SVM; classification stage; handwritten Arabic word recognition; one-against-all multiclass implementation; ridgelet transform; support vector machine; Character recognition; Handwriting recognition; Hidden Markov models; Support vector machines; Wavelet transforms; Handwritten arabic word; Ridgelet transform; SVMs;
Conference_Titel :
High Performance Computing and Simulation (HPCS), 2011 International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-61284-380-3
DOI :
10.1109/HPCSim.2011.5999846
