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A novel multimodal biometric recognition algorithm based on complex kernel fisher discriminant analysis (complex KFDA) is proposed. Complex KFDA exploits two phases to generalize KFDA and perform classification for the fusion feature set: complex KPCA plus complex LDA. As two distinct biometric modals, the features of iris and face are fused in parallel to test our algorithm. Experimental results...
In this paper, a infrared face recognition method using radiant energy conversion and curvelet transformation is proposed. Firstly, to get the stable feature of thermal face, thermal images are converted into radiant energy images according to Stefan-Boltzmann's law. Secondly, curvelet transform has better directional and edge representation abilities than widely used wavelet transformation and other...
An algorithm is developed to estimate visibility from images captured by video cameras. We propose to smooth the captured image by mean shift and extract the landmark edge by an improved ADM. Then the visibility is estimated in terms of a simplified visibility definition. In comparison with traditional methods, our method not only remove the noise in landmark boundary region, but also make boundary...
In this paper, a new image retrieval method, which uses the two primary features of image cluster to retrieve image, i.e., the average color value and the number of pixels for each cluster, is proposed. In comparison with popular methods, since this method uses both color feature and structure feature, it is good to solve such a sort of image retrieval questions for two images that they are similar...
The center-symmetric local binary pattern (CS-LBP) is an effective extension to local binary pattern (LBP) operator. However, it discards some important texture information because of the ignorance of the center pixel and is hard to choose a threshold for recognizing the flat area. A novel improved CS-LBP operator, named ICS-LBP, is proposed in this paper. The new operator classifies the local pattern...
Interior ballistic performance, which is an important tactical characteristic of the gun, is affected directly by erosion and wear of the bore. With the more and more application of the gun in the modern war, the researches on erosion-wear and its influence on the interior ballistic performance have become important. In the past several years, photoelectric test technology has become the key technology...
In order to introduce effective text-retrieval technologies into content-based image retrieval, a novel method based on string-matching technology was presented incorporating the different sensitivity along variant directions of human visual system. The image is firstly divided into non-overlapped blocks and sub-feature is extracted according to the human visual feature. Then, a novel descriptor is...
Because of the semantic gap between low-level feature and high-level semantic feature of images, the results of the traditional color-based image retrieval canpsilat meet userspsila needs. In order to eliminate interference factors in the image retrieval, use image semantic feature and improve the accuracy of image retrieval, the paper introduces an algorithm based on the color correlation mining...
The distribution of pixel colors in an image generally contains interesting information. Recently, many researchers have analyzed the color attributes of an image and used it as the features of the images for querying. Color histogram is one of the most frequently used image features in the field of color-based image retrieval. The color histogram is widely used as an important color feature indicating...
Lossless data hiding is a technique that used to embed secret message into media for generating the stego image. The receiver who obtains the stego image can extract the secret message from it and restore the original media via the extraction and recovery image algorithms. Coltuc and Chassery combined look-up table and reversible contrast mapping technique to generate a very fast watermarking embedding...
As a general framework in feature extract technology, graph embedding has been paid much attention. Integrate graph embedding with boosting method is a potential developing way. We are the first successfully attempt to incorporate these two technology together. Further more, a new adjacency graph weighting method called ldquoclassification graphrdquo was proposed. By using this more suitable graph,...
Based on the theory of wavelet analysis and principal component analysis, multiscale PCA is introduced which combines the ability of PCA to decorrelate the variables by extracting a linear relationship, with that of wavelet analysis to extract deterministic features and approximately decorrelate autocorrelated measurements to improve the performance of PCA whose modeling is limited to a single scale...
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