Support Vector Machince (SVMs) have been promising methods in patternrecognition becausc of their solid mathematical foundation. In this paper, we propuse a localized SVM classification scheme (LSVM), in which we fir...
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Because of variable dependence, high dimensional data typically have much lower intrinsic dimensionality than the number of its variables. Hence high dimensional data can be expected to lie in (nonlinear) lower dimens...
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A novel fingerprint representation scheme is introduced using both the feature of orientation field of the fingerprint pattern around the minutia and the geometrical configuration of the neighboring minutiae around th...
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ISBN:
(纸本)0889864551
A novel fingerprint representation scheme is introduced using both the feature of orientation field of the fingerprint pattern around the minutia and the geometrical configuration of the neighboring minutiae around the minutia. For each minutia, this representation allows the derivation of a fixed-size feature vector which is invariant to the rotation and translation of the fingerprint. With these vectors, we can easily define the similarity level between minutiae that is used to find the correspondence of two minutiae sets and increase the reliability of the matching. A fingerprint matching algorithm,based on the well-defined similarity between minutiae, is developed and tested with a series of experiments performed on the public domain collection of fingerprint images, DB3 in FVC2002. The results reveal that our method outperforms other alternative approaches implemented for comparison.
Faraway engineers are able to sketch direct the shape of engineering components by the browser, and the recognition system will proceed with search for the component database of company by the Internet. In this paper,...
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A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func...
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This paper proposes a hybrid approach of texture-based method and connected component-based one for extracting texts in real scene images. For detecting texts having a lot of variations in size, shape, etc. we use a m...
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We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron...
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We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron...
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This paper describes several methods for using the Virtual Reality Modeling Language (VRML) as the visualization integration technology for manufacturing simulation systems. One of our goals was to develop an integrat...
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A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func...
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