文章基本信息

标题：Finger-vein Image Dual Contrast Enhancement and Edge Detection
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作者：Noroz Khan Baloch ; Zuhaibuddin Bhutto ; Abdul Sattar Chan 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：11
页码：184-192
出版社：International Journal of Computer Science and Network Security
摘要：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.
关键词：Finger-veins; dual contrast limited adaptive histogram equalization; Otsu algorithm; edge detection.