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Miura et al. vein extraction methods 1.0
File ID: 85492






Miura et al. vein extraction methods 1.0
Download Miura et al. vein extraction methods 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 77
User Rating:1 Stars  (1 rating)
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Miura et al. vein extraction methods 1.0 Description
Description: 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.

License: Shareware

Related: Machine, identification, Personal, Vision, Applications, fingervein, Extraction, 101007s0013800401492, Application, repeated

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 77



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