Finger vein recognition technology based on vein direction detection
A recognition technology, a finger vein technology, is applied in the field of finger vein recognition technology based on pulse direction detection, and can solve problems such as the inability to use fingerprint authentication
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[0039] The simulation is carried out under the environment of matlab2014a below, and the present invention is further described in detail in conjunction with the accompanying drawings and embodiments.
[0040] This embodiment refers to the original image of the vein as figure 1 shown.
[0041] Step 1. Convert the original image of the embodiment into a grayscale image, and then perform median filtering.
[0042] Step 2, using the sobel operator to extract the edge of the image.
[0043] Step 3. Perform Hough line detection on the image, and then take the two closest lines among the detected lines as the two edges of the image to obtain the width of the image; then take the two points with the longest horizontal distance of all lines as Tangent, get the length of the image. In order to obtain the region of interest of the image, such as figure 2 shown.
[0044] Step 4, normalize the image.
[0045] Step 5, performing histogram equalization to enhance the image effect.
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