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 …

This paper presents a new approach of face recognition based on wavelet network using 2D
fast wavelet transform and multiresolution analysis. This approach is divided in two stages …

Horses, workers or riders need safety in a farm or a riding club. On account of the great
value of the horse, the breeder needs to protect it from theft and disease. In this context, it is …

Content-based image retrieval (CBIR) has been a worthwhile topic for research for several
years. A powerful CBIR system should minimize the semantic gap between the low-level …

Taking advantage of both the scaling property of wavelets and the high learning ability of
neural networks, wavelet networks have recently emerged as a powerful tool in many …

In this paper, we propose a video watermarking algorithm which embeds different parts of a
single watermark into different shots of a video under the wavelet domain. Based on a …

The automatic interpretation of gestures based on computer vision offers new possibilities to
interact with machines. These interactions are more natural and more intuitive than those …

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) …

This paper aims at develo** a novel approach for speech recognition based on wavelet
network learnt by fast wavelet transform (FWN) including a fuzzy decision support system …

Focusing on the development of new technologies of information, research in the speech
communication field is an activity in full expansion. Several disciplines and skills interact in …