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Published in:
Simulation and Formulation of Rehabilitation Strategies for a Novel Ankle Rehabilitation Robot Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Finger Vein Image Feature Extraction

Authors : Jian Lin, Shuncong Zhong

Published in: Advanced Mechanical Science and Technology for the Industrial Revolution 4.0

Publisher: Springer Singapore

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Abstract

Aiming at extracting the finger vein patterns in low-quality vein images, a finger vein image pattern extraction algorithm based on Hessian matrix was proposed. Firstly, Hessian matrix was acquired by the convolution of all the second derivative of Gaussian filter and finger vein image. Subsequently, the Hessian matrix eigenvalues of each pixel were calculated and the pixels not belonging to finger vein region according to the requirement of the eigenvalues were filtered. Finally, the maximum of the eigenvalues at each pixel under different scales was chosen as the output, and a finger vein image was segmented effectively after image binarization and morphological filtering. The branching points of the refined finger vein pattern were found as the feature points. The results indicated that the algorithm performs well in separating the vein region from the non-vein region and in extracting the feature points.

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Metadata
Title
Finger Vein Image Feature Extraction
Authors
Jian Lin
Shuncong Zhong
Copyright Year
2018
Publisher
Springer Singapore
Book
Advanced Mechanical Science and Technology for the Industrial Revolution 4.0

Print ISBN: 978-981-10-4108-2

Electronic ISBN: 978-981-10-4109-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-4109-9_6

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