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At present, the biometric verification methods have attracted more and more the attention of researchers, and palm print verification as an important method, with its stable and rich features, has been widely used and highly development prospects. However,in feature extraction stage, traditional Gabor often uses fixed parameters to extract feature of all samples, which is not only a waste of a great...
A novel iris localization method and user-specific automatic iris authentication approach based on feature selection is proposed in this paper. First, two iris sub-regions, where are nearly not occluded by useless parts such as eyelash and eyelid, are segmented as region of interest (ROI). Second, multi-scale Gabor filters are adopted to extract the texture feature of ROI. Third, genetic algorithm...
This paper proposes a novel idea based feature selection in the verification system of palmprint, which can realize the specific feature selection for different user using genetic algorithm (GA). In the stage of enrollment, discrete wavelet transforms (DWT) and statistical methods are first used for feature extraction. Then GA is employed for feature selection, which means that each user has a specific...
For most image fusion algorithms split relationship among pixels and treat them more or less independently, this paper proposes a region based multi-focus image fusion scheme using wavelet transform, morphological and genetic algorithm, which combines aspects of feature and pixel-level fusion. The basic idea is to select sharply focused regions from source images and to combine them together to reconstruct...
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