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Python implementation of the Palmprint RoI extraction algorithm from 'An Effectual Method for Extraction of ROI of Palmprints'

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effectual-palm-roi-extraction's Introduction

Effectual-Palm-RoI-Extraction

Python implementation of the Palmprint RoI extraction algorithm from An Effectual Method for Extraction of ROI of Palmprints

Algorithm

  • Image is blurred and mask is extracted using Otsu Binarization.
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  • Centorid of mask is calcualted using moments M_10 and M_01 of the image.

  • Edges are extracted by subtracting the erosion of the mask from itself. A 3x3 + shaped kernel is used for erosion.

  • Outer boundary is detected using simple 8 connectivity.

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  • Find distance of points on the boundary from the centroid.

  • Remove high frequency components from the function so that minimas due to unevenness of edge are removed

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  • Differentiate and find valley points from local minimas.
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  • Rotate the image to align valley points horizontally and crop the Region of Interest.
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Requirements

Numpy
OpenCV
Matplotlib

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