The Study on Finger Vein Image Enhancement Based on Ridgelet Transformation

According to features of the human finger vein images, the algorithm of image enhancement based on the Ridgelet transformation is presented in this paper. Firstly the high-frequency sub-band coefficients are transformed by Ridgelet after the finger vein image´s wavelet transformation. Then the Ridgelet coefficients are processed by using the non-linear new coefficient-determined method. At last do the inverse Ridgelet transformation for each high-frequency sub-band and the Wavelet reconstruction. The algorithm is effective in processing the finger vein´s two-dimensional curve singularity and the image edge enhancement. It overcomes the shortages of Wavelet transformation in high-dimensional curve singularity and direction choices. Comparing with the traditional two-dimensional discrete wavelet transformation and the algorithm presented in, the experimental results show that the algorithm presented in this paper has a better effect in finger vein´s image enhancement.