Method for extracting region of interest of finger vein based on fusion of finger contour and gradient distribution
A region of interest and gradient distribution technology, applied in the field of image processing, can solve problems such as easy rotation, poor contrast, and unreliable extraction of ROI, etc., to achieve the effect of enhancing contrast
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[0057] The present invention utilizes the imaging principle of finger veins and the low absorption rate of interphalangeal joints to near-infrared rays, uses finger contours to correct finger rotation, gradient distribution to locate interphalangeal joints, and then automatically extracts ROIs with rich vein information for subsequent The feature extraction and recognition of finger veins provide reliability assurance. Therefore, the technical solution adopted in the present invention is a finger vein ROI extraction method based on the fusion of finger contour and gradient distribution, and the steps of the solution are as follows.
[0058] Step 1 Extract finger contour information:
[0059] 1) Use the OTSU (maximum inter-variance method) algorithm to perform binarization operations on finger vein images to obtain binarized images;
[0060] 2) using Sobel edge detection operator to extract finger contour image;
[0061] 3) Subtracting the corresponding pixels of the binarized ...
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