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Since last few years, Content Base Image Retrieval (CBIR) system has got more attention from its generic to specific use. CBIR depends upon visual low-level feature extraction i-e color, texture, shape and spatial layout. In this paper, a Local Binary Patterns (LBP) has been employed for texture analysis of image and also it is compared with average RGB color image descriptor method. And then a complementary...
Nowadays, Content Based Image retrieval (CBIR) has been one of the most interesting research areas among researchers of technology-giants and academic institutions. Various CBIR techniques in literature show that there are three key properties in image retrieval viz. color, texture and shape. In this paper a detailed classification along with the challenges and issues of CBIR techniques evolved during...
Content Based Image Retrieval is very hottest research area in computer vision and image processing. To perceive arbitrary natural scene from complex environment is a challenging issue in visual imaging and processing research area. Neural Network is a grid of “neuron like” nodes, in this paper we follow towards Neural Network (NN), is committed to contributing a new technical concept for the scene...
In recently years, in the era of multimedia technologies need for information/data retrieval systems getting more attention. The data might be image, video, audio and/or text files. Digital libraries, surveillance application, web applications and many other applications that handle huge volume of data essentially have data retrieval components. These data always include large-scale of independent...
Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it's a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous...
World dynamic situation are full of random changes which include multiple factors like audio, video and image. So cause of concurrent incident and simultaneously device performance requirement become typical for information retrieval. That make segmentation approach a method of combining feature transformation with clustering algorithm which is proposed for adequate retrieval of image, that could...
Multimedia technology is known as the single repository source for information retrieval that includes images, audio and video. Nowadays, it is growing with tremendous amount in the field of communication technology. Traditional text based retrieval techniques of information retrieval are inefficient at searching user's intended information from the large multimedia database. To address this problem,...
Arrangement of description of any specific object have a pattern structure in image processing filed to analyze and observe a targeted object and declare as goal is a hot field of research. For a random situation complexity is going to increase when we have classes that specifies concurrently and co-relate with each other with complex database. With an algorithm to follow sketch and finalized as a...
In recent years, information retrieval has been one of the vast area of research that focuses not only on a single mode of retrieval system but on multimodal (i.e. text, image, audio and video) information retrieval systems that binds multimodalities into a single repository. Multimodal retrieval system provides the features to search/retrieve information that are available in multiple formats. Systems...
In this paper, an improved ant colony optimization based approach for image edge detection is proposed. The algorithm use ant colony clustering approach to extract edge feature. The approach set the heuristics information function and the initial cluster, thus avoiding the search blindness which carried out by traditional ant colony algorithm. And a series of simulation experiments demonstrate the...
This paper constructed a web site supervision system to analyze the sentiment orientation of the articles (document, text) on the web sites in intranet. A scheme based on Vector Space Model (VSM) is put forward for identifying the sentiment orientation of document. Considering the feature of a document is relative to the term frequencies appears in the document and corpus, we extract the feature of...
This paper summarizes the recent development of illumination compensation for face recognition. Then a new method is proposed by extracting illumination invariant features in contourlet transform domain based on human visual perception mechanism. The experimental results on Yale B and CMU PIE face databases demonstrate that it is effective and competitive.
For the superiority of good uniqueness, stability and being easily collected, fingerprint has become one of the most widely used biological characteristics. The algorithm of fingerprints identification is generally divided into three parts: image pretreatment, feature point extraction and matching. This paper analyses and improves the most widely used matching algorithm - the shortest distance point...
Given uncertain status reports or notes come from multi-sensor, identity fusion further makes them integrate information and jointly determine the observed entities. This paper discusses an improved data fusion approach to multi-biometric feature, including face, fingerprint and iris image. The approach is called improved multiple biometric data fusion algorithm, based on the eigen-face and the Gabor...
The single biometric identification technology has the inherent and difficult overcoming shortcomings, so multi-modal biometric fusion and identification techniques were proposed to improve the performance and accurate rate of identification system. This paper proposed a model combined with 2-dimensional Fisher linear discriminant analysis for face and iris feature fusion and recognition. First face...
Data classification has been studied widely in the fields of Artificial Intelligence, Machine Learning, Data Mining and Pattern Recognition. Up to the present, the development of classification has made great achievements, and many kinds of classified technology and theory will continue to emerge. This paper discusses a great deal of classification algorithms based on the Artificial Neural Networks,...
Obtaining invariant representation of time varying signals is one of the major problems in object recognition. Recently, a new method that slowly feature analysis (SFA) which can extract invariant features of temporally varying signals is being explored, which is an extension of independent component analysis (ICA) which has been used for extracting facial feature. The technique of SFA can be extended...
In this paper, we introduce a face recognition approach based on the contourlet transform and support vector machine, which takes technological advantages of both support vector machine and the contourlet transform for feature extraction. The contributions of this paper include the following aspects: (1) support vector machine is successfully applied to face recognition by using the contourlet transform...
Digital Rights Management (DRM) system is the effective schemes for digital transactions. A novel authentication scheme of the DRM system based on multimodal biometric verification and watermarking technique is described in this paper, which is based on highly secure iris recognition and face recognition and their feature fusion recognition is described, which is can achieve the rights management...
The paper first gives a method for removing the thousands of noisy points by using neighborhood centroid constrained fairing algorithm. And then, uses the 3D point clouds to reconstruct the face surface. At last, we could extract the facial feature.
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