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- W2386624118 abstract "A novel algorithm using discriminant analysis of multiple features (DAMF) is presented for adaptive fingerprint image segmentation. Three block-level features including the variance,the orientation coherence measure and the total variation are used by the proposed method. For a given fingerprint,probability distribution of each feature over the whole image is estimated,and then a classifier adaptive to the fingerprint is constructed by considering the discriminability of each feature for two-class (background and foreground) classification problem. The fingerprint image is segmented by classifying each image block via the classifier. Mathematical morphology and region boundary smoothing is applied as postprocessing to obtain compact clusters and to reduce the classification error. The performance of new algorithm is evaluated on FVC2004 database,and the experimental results show that new algorithm can segment the fingerprints effectively,and also improve the accuracy of matching substantially." @default.
- W2386624118 created "2016-06-24" @default.
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- W2386624118 date "2009-01-01" @default.
- W2386624118 modified "2023-09-25" @default.
- W2386624118 title "Segmentation of Fingerprint Images Using Discriminant Analysis of Multiple Features" @default.
- W2386624118 hasPublicationYear "2009" @default.
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