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Finger-vein Image Dual Contrast Enhancement and Edge Detection


Noroz Khan Baloch, Zuhaibuddin Bhutto, Abdul Sattar Chan, Mudasar Latif Memon, Kashif Saleem, Murtaza Hussain Shaikh, Saleem Ahmed


Vol. 19  No. 11  pp. 184-192


In this paper, we propose a novel scheme to get a pattern of Finger Veins from the original image. The central point of this paper is how to extract Finger-vein ridges from the background surface. For this purpose, we implement dual contrast limited adaptive histogram equalization (DCLAHE) method, which is used for enhancing the grayscale color intensity values. After improving the image contrast, we apply an Otsu thresholding algorithm in canny edge detection to obtain optimal edges for a Finger-vein. Investigational end results show a precise binary representation of the vein pattern.


Finger-veins, dual contrast limited adaptive histogram equalization, Otsu algorithm, edge detection.