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Miura et al. vein extraction methods

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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-localization

Comments:
Please leave a comment, if you like it, find a bug, or know (made) good improvements to the code.

Free download from Shareware Connection - Two vein extraction methods as described by Miura et al. for finger vein authentication.

Publisher: Bram Ton | License: Shareware
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 25-06-2013 | Rating: 0 | Title: Miura et al. vein extraction methods

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/35716/2/code.zip

More downloads from Miura et al. vein extraction methods publisher Bram Ton:

Finger region localization - Filtering the image using a simple mask will give a large response at the transition from background to finger

Simple finger normalisation - Aligns the finger to the centre of the image using an affine transformation.

Wide line detector - This method by Huang et al. will try to extract veins using a wide line detector.

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