A New Hand Shape Recognition Algorithm Based on Delaunay Triangulation

被引：0

作者：

Liu, Fu ^{[1
]}

Jiang, Shoukun ^{[1
]}

Kang, Bing ^{[1
]}

Hou, Tao ^{[1
]}

机构：

[1] Jilin Univ, Coll Commun Engn, Changchun 130022, Jilin, Peoples R China

来源：

BIOMETRIC RECOGNITION, CCBR 2018 | 2018年 / 10996卷

基金：

中国国家自然科学基金;

关键词：

Hand shape recognition; Delaunay triangulation; Finger central axis;

D O I：

10.1007/978-3-319-97909-0_3

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, we present a new hand shape recognition algorithm based on Delaunay triangulation. When collecting hand shape images by a non-contact acquisition equipment, the degree of stretching of fingers may cause finger root contour deformation, which leads to unstable central axis and width features. Thus, we propose to form a more robust and non-parametric finger central axis extraction algorithm, by using a Delaunay triangulation algorithm. We show that our robust algorithm achieves the recognition rate of 99.89% on our database, while the mean time of feature extraction is 0.09 s.

引用

页码：22 / 28

页数：7

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