SIFT Based Vein Recognition Models: Analysis and Improvement
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Scale-Invariant Feature Transform (SIFT) is being investigated more and more to realize a less-constrained hand vein recognition system.
Contrast enhancement (CE), compensating for deficient dynamic range aspects, is a must for SIFT based framework to improve the performance.
However, evidence of negative influence on SIFT matching brought by CE is analysed by our experiments.
We bring evidence that the number of extracted keypoints resulting by gradient based detectors increases greatly with different CE methods, while on the other hand the matching result of extracted invariant descriptors is negatively influenced in terms of Precision-Recall (PR) and Equal Error Rate (EER).
Rigorous experiments with state-of-the-art and other CE adopted in published SIFT based hand vein recognition system demonstrate the influence.
What is more, an improved SIFT model by importing the kernel of RootSIFT and Mirror Match Strategy into a unified framework is proposed to make use of the positive keypoints change and make up for the negative influence brought by CE.
American Psychological Association (APA)
Wang, Guoqing& Wang, Jun. 2017. SIFT Based Vein Recognition Models: Analysis and Improvement. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1141997
Modern Language Association (MLA)
Wang, Guoqing& Wang, Jun. SIFT Based Vein Recognition Models: Analysis and Improvement. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1141997
American Medical Association (AMA)
Wang, Guoqing& Wang, Jun. SIFT Based Vein Recognition Models: Analysis and Improvement. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1141997
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141997