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Finger Vein Image Enhancement Algorithm Based on the Grayscale Morphology

As the information security technology constantly develops, finger vein feature technology has become a new technology. The paper proposes a Finger Vein Image Enhancement Algorithm Based on the Grayscale Morphology (FVGM). The algorithm first uses a group of structural elements with the four directions for respective dilation operation of the image, and gets the smoothed finger vein image by weighting method. Simulation results show that FVGM algorithm can effectively improve the definition of intravenous lines in the finger vein image.