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Fingerprint Image Segmentation Using Haar Wavelet and Self Organizing Map

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Academic year: 2017

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Fig. 1.  Diagram of Proposed Method Fingerprint image Segmented fingerprint image  Approximation coefficient  Feature vectors 2D Haar wavelet decomposition  (2 levels)  Features  extraction Segmentation  using SOM
Fig. 2.  Number of cluster vs number of epoch for two clusters
Fig. 4.  Fingerprint with annotation. (a) original image, (b) cluster number =  2, (c) cluster number = 3, (d) cluster number = 4

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