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Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. In this paper, an approach for fingerprint segmentation based on cellular neural network (CNN) is presented. The proposed algorithm is realized by threshold CNN (T-CNN), of which threshold is obtained via fuzzy set theory. Experimental results show that...
Thresholding is one of the old, simple, and popular techniques for image segmentation, and has been widely studied. In this paper, an approach for image thresholding based on cellular neural network (CNN) associated with histogram analysis is presented. The approach realized by threshold CNN (T-CNN), in which the threshold is obtained via histogram-based automatic searching algorithm. Experimental...
For the purpose of extracting the features in high spatial resolution QuickBird panchromatic images, and of using the images into various fields, this paper presented a method to detect the contour of features in QuickBird remotely sensing images based on mathematical morphology (MM) integrated with cellular neural network (CNN). Firstly, remove the noise in images using open-closing morphological...
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