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This paper presents an approach called Gabor-feature-based Local Generic Representation (G-LGR), which take advantages of the sparse representation properties of face recognition in biometric applications. In this work, the main problem is that if only one training subject per class is available. One of the novelties of our new algorithm is to produce virtual samples of each subject; the new sample...
In this paper, a new approach for 3D skeleton-based human motion recognition is discussed. First, we opted to represent the movement as a set of body joints trajectories. Those trajectories are then converted into ropes histograms. The motion records are obtained using the Kinect motion sensor. The classification phase consists in comparing those histograms with ropes histograms of a set of reference...
Future indoor wireless communications based on millimeter and submillimeter wavelengths targets at exploiting large bandwidths beyond 60 GHz to realize a very high data rate over a short distance. The massive MIMO approach is a promising solution to power consumption and interference. The approach is based on a large number of antennas to realize a high spatial selectivity along with a reduction of...
This paper presents a rotor bars Modeling. The rotor of an Electrical asynchronous machine is modeled by an equivalent electrical diagram related to the squirrel-cage connected together electrically and coupled magnetically, the frequencies characteristics of fault break bars. An intelligent strategy was adopted for fault detection in rotor using the map SOM (Self Organizing Map). It involves the...
An efficient and above all cheap solutions, biometrics provide extensive information in access control applications. 3D mode provides great new opportunities in this sector in recent years. Firstly the paper discusses the formal work done in this domain discussing approach based on curvature calculation, alignment of surfaces, feature selection and facial curve including different techniques for 3D...
With the massive changes in input acquisition systems such as smart phones and tablets, the field of handwriting recognition has more attention accorded by a several researchers. This article addresses the problem of online Arabic character segmentation. Our approach is based on top-down segmentation-free of Arabic character by detecting the candidate points in the general chain code of the character...
The pattern recognition domain, particularly the online Arabic character recognition is a rich area of research. This paper puts forward a new approach for character recognition using domain ontology. Our main idea is based on the modeling of Arabic character by construction of ontology created by a domain expert. This ontology consists of a set of concepts and spatial relations between them. The...
Texture description becomes nowadays very important for the understanding of the visual content of the images. Several approaches are proposed in the last decades and are generally categorized into two large families: statistical and Structural. In this paper, we are interested in statistical methods which are often presented in different ways. Particularly, we propose a unified statistical approach...
The problem of recognition of handwritten characters is still an active area of research which accord more attention. In this context, our paper focuses on purpose of a new approach based on the integration of reasoning logic using OWL ontology and SWRL rules to the classification phase. Our ontology consists of a set of concepts and spatial relations between them, the main concept is the Arabic character...
As the environment identification is a vital necessity for blind people, a visual substitution system based on videoanalysis is the solution to their problem. This paper focuses onthe assessment and integration of the local dissimilarity map inthe video processing. A Real Value local Dissimilarity Map isbuilt for grayscale images in order to get an excellent detectionof similar frames. The elimination...
In most document archiving systems, one of the main fields is to identify the category of documents. In most case, determination of the document category in archiving tasks requires the application of classification model, which have had successes in improving documents processing. However, concerns exploding the frequency of use of documents in many office managers have driven increasing interests...
Recognition of Arabic Character field has been gaining more interest for many years, and a large number of research papers and reports have already been published in this area. There are several major issues with Arabic character recognition: Arabic characters are spelled differently (depending on whether they are isolated, at the beginning, in the middle or at the end of the word), multiple characters...
Alzheimer is a disease that affects the brain. It causes degeneration of nerve cells (neurons) and in particular cells involved in memory and intellectual functions. Early diagnosis of Alzheimer Diseases (AD) raises ethical questions, since there is, at present, no cure to offer to patients and medicines from therapeutic trials appear to slow the progression of the disease as moderate, accompanying...
In this paper, we propose a technique of features selection based on modified particle swarm optimization (MPSO) for face recognition system. PSO is a new class of algorithm for feature selection based on the idea of collaborative behavior of bird flocking. The feature selected by the proposed MPSO algorithm plays a vital role to search the solution space for an optimum solution where features are...
Vision is one of the very essential human senses and it plays the most important role in human perception about surrounding environment. Hence, over thousands of papers have been published on these subjects that propose a variety of computer vision products and services by developing new electronic aids for the blind. This paper aims to introduce a proposed system that restores a central function...
This paper presents an intelligent strategy for anomaly detection in induction machines using the map SOM. It involves the most significant parameters of SOM, such as the topological structure of the map, the Kohonen learning algorithm, the activity diagram in a micro light and frequencies characteristics of anomalies. A comparative study of the anomaly detection performance was conducted under the...
The need to integrate automatic communication systems in daily applications and technology progress has encouraged speech synthesis sector development. Many variety of voice systems synthesis exist but diphones concatenation method appears to be efficient to contribute to speech synthesis of many languages. The first task in any development of speech synthesis system is to prepare the data base used...
Content-Based Image Retrieval (CBIR) becomes necessary when dealing with large collections of images. Recently, interesting retrieval methods are based on Bag-of-Words (BoW) model. It allows the projection of an image in a vector space called the word space. Nevertheless, this space can be further refined in order to reflect the semantic content of an image. Indeed, it can be transformed into a lower...
The two-dimensional images are often insufficient to achieve a perfect diagnosis in the medical area; on the other hand the three-dimensional images allow having an interesting deductive vision and there denoising has become a necessity and an essential need. Many methods have been proposed to reduce noise and to preserve edge, are usually used for 2D images and they have been extended to 3D data...
Since the 1970, object recognition technologies have matured to a point at which exciting applications are becoming possible for visual substitution. In fact, industry has created a variety of computer vision products and services by developing new electronic aids for the blind in order to overcome the difficulties that the dog and cane do not respond. This paper provides an overview of various visual...
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