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Developing an automatic arabic sign language recognition system is of great importance, it can be used as a communication means between hearing-impaired and other people.
The success of the deep learning and specifically learning layer by layer led to many impressive results in several contexts that include neural network. This gave us the idea to apply this principle of learning on wavelet network because it is an active research topic at the moment. This paper present our approach for image classification by the combination of two techniques of learning: the wavelet...
Face emotion recognition is one of the most important and rapidly advanced active research areas of computer science. A new method for facial expression recognition based on wavelet network classifier is proposed in this paper. It allows us the detection of six basic emotions other than the neutral one: (Joy, surprise, sadness, anger, fear and disgust) The process is composed of three principle steps:...
Road safety is an important challenge for human society. Fatigue at the wheel is a serious problem causing thousands of road accidents each year. The major issue in the field of driving security systems is driver vigilance control. In this paper, we present a new method for driver's vigilance level measurement using a multi parameter system based on head movement estimation, eyes blinking analysis...
Speech recognition is a specialized pattern recognition task with several applications such as vocal command system, dictating machines, and understanding systems. In recent years, research on pattern recognition has increased by developing various methods and algorithms for different applications. In this paper, we proposed a novel training algorithm based on the fast Beta wavelet transform for speech...
Image classification is an important task within the field of computer vision. In this paper we propose a new wavelet network classifier (WNC) based on the cascaded architecture. This classifier is characterized by its new learning approach and its novel architecture which brings a novel robust test way. So, our contributions in this paper reside in two major points. The first one is the proposition...
This paper presents a new cascaded hybrid Wavelet Network Classifier (CHWNC) designed for hand gesture recognition in real time applications. This paper contains two key contributions. The first is the amelioration of our previous works in the classification domain employing wavelet networks (WN). Precisely, by ameliorating the training way of the latest wavelet network classifier (WNC) version by...
Supervised machine learning is an important field with many immediate applications. As a result, there is an increasing number of public tools with a diversity of learning approaches. In this paper we propose a new architecture of wavelet network classifier learnt by a fast wavelet transform (FWN). This classifier is well suited for data classification and has many advantages compared to other ones...
The problem of image classification remains to be a major challenge to the computer vision community. In this paper, we propose a new classifier architecture based on multiresolution wavelet network learnt by fast wavelet transform including a fuzzy decision support system (FWN-FDSS). The proposed classifier has many advantages compared to other ones. It is characterized by its new method of computing...
Fatigue and drowsiness are a part of everyday life for millions of people. They reduce reaction time, vigilance, alertness and concentration, therefore, the ability of performing attention-based activities (such as driving) is impaired. In this paper, a drowsy driver detection system has been developed, using video processing analyzing eyes blinking concepts for measuring eyes closure duration and...
Image classification is an important task in computer vision. In this paper, we propose a supervised method for image classification based on a fast beta wavelet networks (FBWN) model. First, the structure of the wavelet network is detailed. Then, to enhance the performance of wavelet networks, a novel learning algorithm based on the Fast Wavelet Transform (FWTLA) is proposed. It has many advantages...
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