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In this work, we use DCT transform and eigen-faces method to describe our facial dataset and to build a face recognition system using Kohonen self organizing map neural network classifier. Ascendant hierarchical classification is used to describe the efficiency of DCT transform. A Kohonen SOM neural network classifier is used to classify an individual from three face databases: The ORL, computer vision...
Deaf people all around the world use sign language to communicate and like oral languages vary from country to another so it is for the sign languages. In this paper, we propose a probabilistic neural network (PNN) for two Sign languages: American Sign Language (ASL) recognition for static signs and Arabic sign Language. The signs in both of them are realized with one naked hand and simple background...
This article develops a speaker-dependent Arabic phonemes recognition system using MFCC analysis and the VQ-LBG algorithm. The system is examined with and without vector quantization in order to analyze the effect of compression in an acoustic parameterization phase. Our experimental results show that vector quantization using a codebook of size 16 achieves good results compared to the system without...
Audio-only speaker/speech recognition systems ASR are far from being perfect especially under noisy conditions. Furthermore, it is a known fact that the content of speech can be revealed partially through lip-reading. Human speech perception is bimodal in nature: Humans combine audio and visual information in deciding what has been spoken, especially in noisy environments. In this paper, we describe...
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