Finger region localization 1.0

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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.Literature: - "Finger vein recognition using minutia-based alignment and local binarypattern-based feature extraction" E.C. Lee, H.C. Lee and K.R. ParkInternational Journal of Imaging Systems and Technology Volume 19, Issue 3, September 2009, Pages 175-178doi: 10.1002/ima.20193Comments: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: Extraction, Feature, Finger, Imaging, International, Journal, Literature, Local, Patternbased, Recognition

Users rating: 0/10

License: Shareware

Size: 102.4 KB

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