Finger region localisation

Version (86.9 KB) by Bram Ton
Localisation of the finger region using a simple mask filter method.
Updated 11 Apr 2012

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Filtering the image using a simple mask will give a large response at the transition from background to finger. These large responses are located and used as detected finger edge. The function will return the location of these edges and will return a binary mask indicating the finger region.
Note that the implementation assumes that the upper edge is located in the top-half of the image and that the bottom edge is located in the lower-half of the image.

- "Finger vein recognition using minutia-based alignment and local binary
pattern-based feature extraction" E.C. Lee, H.C. Lee and K.R. Park
International Journal of Imaging Systems and Technology
Volume 19, Issue 3, September 2009, Pages 175-178
doi: 10.1002/ima.20193

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

Cite As

Bram Ton (2024). Finger region localisation (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Added a sample image and a script on how to use the 'lee_region()' function.