Recognition of handwritten Tifinagh characters using a multilayer neural networks and hidden Markov model

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TANY2

Recognition of handwritten Tifinagh characters using a multilayer neural networks and hidden Markov model

Dr. B. EL KESSAB
Dr. B. EL KESSAB
C. DAOUI
C. DAOUI
K. MORO
K. MORO
B. BOUIKHALENE
B. BOUIKHALENE
M. FAKIR
M. FAKIR
DOI

Abstract

In this paper, we propose a system for recognition handwritten characters Tifinagh, with the use of neural networks (the multi layer perceptron MLP), the hidden Markov model (HMM), the hybrid Model MLP/HMM and a feature extraction method based on mathematical morphology, this method is tested on the database of handwritten isolated characters Tifinagh size consistent (1800 images in learning and 5400 test examples). The recognition rate found is 92.33%. The MLP, HMM and MLP+HMM classifiers show good enough results.

Recognition of handwritten Tifinagh characters using a multilayer neural networks and hidden Markov model

In this paper, we propose a system for recognition handwritten characters Tifinagh, with the use of neural networks (the multi layer perceptron MLP), the hidden Markov model (HMM), the hybrid Model MLP/HMM and a feature extraction method based on mathematical morphology, this method is tested on the database of handwritten isolated characters Tifinagh size consistent (1800 images in learning and 5400 test examples). The recognition rate found is 92.33%. The MLP, HMM and MLP+HMM classifiers show good enough results.

Dr. B. EL KESSAB
Dr. B. EL KESSAB
C. DAOUI
C. DAOUI
K. MORO
K. MORO
B. BOUIKHALENE
B. BOUIKHALENE
M. FAKIR
M. FAKIR

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bade10. 1970. “. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 15): .

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GJCST Volume 11 Issue 15
Pg. 13- 19
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Recognition of handwritten Tifinagh characters using a multilayer neural networks and hidden Markov model

Dr. B. EL KESSAB
Dr. B. EL KESSAB
C. DAOUI
C. DAOUI
K. MORO
K. MORO
B. BOUIKHALENE
B. BOUIKHALENE
M. FAKIR
M. FAKIR

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