Miura et al. vein extraction methods 1.0

Two vein extraction methods as described by Miura et al. for finger vein authentication.Maximum curvature:This method will try to extract the centre lines of the veins. This is done by calculating local maximum curvatures in cross-sectional profiles of a vein image. The method is supposed to be robust against varying vein widths and non-uniform brightness.Repeated line tracking:This algorithm will start at several random points and will try to track a line. If a pixel has been visited by the line tracking algorithm multiple times it is likely to be a vein. Literature: - N. Miura, A. Nagasaka, and T. Miyatake "Feature extraction of finger vein patterns based on repeated line tracking and its application to personal identification" Machine Vision and Applications.doi: 10.1007/s00138-004-0149-2 - N. Miura, A. Nagasaka, and T. Miyatake "Extraction of finger-vein patterns using maximum curvature points in image profiles." IAPR conference on machine vision applications 9 (2005).Usage:The file "miura_usage.m" gives an impression of how to use the feature extraction methods. Finger region localization can be found here:http://www.mathworks.in/matlabcentral/fileexchange/35752-finger-region-localizationComments:Please leave a comment, if you like it, find a bug, or know (made) good improvements to the code.

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	101007s0013800401492,  Application,  Applications,  Extraction,  Fingervein,  Identification,  Machine,  Personal,  Repeated,  Vision
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