Finger-vein Images Dual Contrast Enhancement and Edge Detection

被引：0

作者：

Baloch, Noroz Khan ^{[1
]}

Bhutto, Zuhaibuddin ^{[2
]}

Chan, Abdul Sattar ^{[3
]}

Memon, Mudasar Latif ^{[4
]}

Saleem, Kashif ^{[1
]}

Shaikh, Murtaza Hussain ^{[5
]}

Ahmed, Saleem ^{[1
]}

机构：

[1] Dawood Univ Engn & Technol, Karachi, Pakistan

[2] Balochistan Univ Engn & Technol, Dept Comp Syst Engn, Khuzdar, Pakistan

[3] Sukkur IBA Univ, Eletr Engn Dept, Sukkur, Pakistan

[4] Sukkur IBA Univ, IBA Community Coll Naushehro Feroze, Sukkur, Pakistan

[5] Kyungsung Univ, Dept Comp Syst Engn, Busan, South Korea

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2019年 / 19卷 / 11期

关键词：

Finger-veins; dual contrast limited adaptive histogram equalization; Otsu algorithm; edge detection; FINGER VEIN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：184 / 192

页数：9

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