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Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by combining the advantages of SVM - convexity and the availability of efficient optimizers, with 'hyperkernels' - linear combinations of kernels computed at multiple levels of image encoding. The use of hyperkernels faces the...
Our former work primarily concerned the classification of satellite images after having coded their textures by a new approach of coding. These texture characteristics are extracted using cooccurences matrix because of their wealth of information from texture. The results obtained showed the interest from the second coding, which will be explained later on, and which will improve the results of the...
In this paper, we present a steganalytic method to attack JPEG2000 lazy-mode steganography proposed by Su et al. The key element of the method is the Hilbert-Huang transform based analysis of the code-block noise variance sequences of stego images and non-stego noisy images. The Hilbert transform based characteristic vectors are constructed via empirical mode decomposition of the sequences and the...
This paper presents a multimodal biometric identification system based on the geometrical and palm print features of the human hand. The right hand images are acquired by a commercial scanner with a 150 dpi resolution. The geometrical features are obtained from the binarized images and consist on 15 measures. A support vector machines is used as verifier. The palm print texture is obtained by means...
This paper proposes a new type of a support vector machine which uses a kernel constituted from fuzzy basis functions. The proposed network combines the characteristics both of a support vector machine and a fuzzy system: high generalization performance, even when the dimension of the input space is very high, structured and numerical representation of knowledge and ability to extract linguistic fuzzy...
We attempt to develop a crossarm reuse judgment system based on rust images that uses machine learning techniques. The system consists of a digital camera and a standard note book personal computer (PC). We estimate the degree of accuracy of the judgment of various pattern classification methods without special image processing techniques such as the extraction of features. The results show that a...
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