The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The objective of this work is to investigate the benefit of discrete wavelet transform combined with LPC, for speaker identification system applied for Algerian Berber language, compared to the traditional Mel frequency analysis. We’ve developed a speaker identification system for Algerian Berber language. The corpus concerns two dataset, the first one concerns eight isolated words and the second...
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...
The aim of our work is to develop a speaker identification system based on the visual modality, in particularly the lip image, using local descriptors LBP and their extensions Center-Symmetric Local Binary Patterns (CS-LBP) and the opponent color LBP (OCLBP). An artificial neural network RBF "Radial basis function" is used to classify the correct speaker depending on what he is saying. Two...
We present in this paper facial skin motion localization in a video sequence. When a face is under motion, a set of muscles, lip shape, eyebrows… are involved. The changes in successive images have direct effects on facial motion. Our work proposes an approach to detect points and areas that undergoes significant movement on a face under motion. Our method requires only simple devices: a webcam and...
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...
In this paper, we present a face recognition system using skin segmentation as feature reduction. Human Skin detection reduces the face region research in the image. In addition, color skin is a robust information face to rotation; scale and illumination variation. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. The proposed...
The aim of our work is to investigate the use of two powerful feature descriptor known as Zernike moments and histogram of oriented gradient (HOG) for facial images extracted from a video sequence uttered ten times by four speakers where MLP neural network classifier is used to identify the correct speaker. We've demonstrated good recognition rate obtained for both Zernike moments and HOG descriptors.
Face representation using Gabor features and discrete wavelet has attracted considerable attention in computer vision; image processing, pattern recognition and human machine interaction. In this paper, Gabor and Haar wavelet based feature extraction methods are proposed for the extraction of features from facial images. Face recognition experiments were carried out by using Artificial Neural Networks...
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...
We present a fast method for locating iris features in frontal face images based on the Hough transform. The aim of this work is to detect the circles surrounding the exterior iris pattern from a set of facial images. The circular Hough transform is used for this purpose, a first edge detection technique is used for finding the edges in the input image. After the characteristics points of circles...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.