NDLI: Towards application of dorsal hand vein recognition under uncontrolled environment based on biometric graph matching

Content Provider	IET Digital Library
Author	Zhong, Dexing Shao, Huikai Liu, Shuming
Abstract	Dorsal hand vein recognition is a kind of biometric technique that has emerged in the last two decades. Owing to its safety, accuracy, and effectiveness, more and more researchers are involved in the study. Here, the authors presented a dorsal hand vein recognition system under uncontrolled environments based on biometric graph matching (BGM). Firstly, the authors establish two hand vein databases under natural indoor lighting conditions, i.e. XJTU-A and XJTU-B, with the hand not fixed. Secondly, the authors focus on optimising the image preprocessing steps in terms of region of interest (ROI) extraction, vein segmentation, and vein skeleton extraction. An ‘open’ operation with a large parameter is carried out to make the ROI extraction more abundant based on the maximum inscribed circle. In vein segmentation, the authors use the curvature point algorithm to better extract the vein skeleton. Thirdly, BGM algorithm is adopted to obtain distance measurements. The authors use single distance measure and multiple distance measures to obtain the threshold for recognition, respectively. Finally, the proposed dorsal hand vein recognition system is tested in three databases, and experiment results show that the improvement of the entire algorithms leads to high accuracy and strong robustness of the recognition system, whether under uncontrolled or controlled conditions.
Starting Page	159
Ending Page	167
Page Count	9
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 2, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5056
Journal	IET Biometrics
Publisher Date	2018-10-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biometric Graph Matching Biometric Technique Biomimetics Computer Vision And Image Processing Technique Dorsal Hand Vein Recognition System Feature Extraction Hand Vein Database Image Matching Image Recognition Image Segmentation Interest Extraction Uncontrolled Environment Vein Recognition Vein Segmentation Vein Skeleton Extraction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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