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Title: Investigation of dimensionality reduction in a finger vein verification system
Authors: Ting, Ei W.
Ibrahim, M.Z.
Mulvaney, David J.
Keywords: Finger vein recognition
Repeated line tracking
Principal component analysis
Speeded-up robust features
Issue Date: 2017
Publisher: © Springer
Citation: TING, E.W., IBRAHIM, M.Z. and MULVANEY, D.J., 2017. Investigation of dimensionality reduction in a finger vein verification system. IN: Kim K., Kim H. and Baek N. (eds). IT Convergence and Security 2017. ICITS 2017. Lecture Notes in Electrical Engineering, 449, pp. 194-201.
Series/Report no.: Lecture Notes in Electrical Engineering;449
Abstract: Popular methods of protecting access such as Personal Identification Numbers and smart cards are subject to security risks that result from accidental loss or being stolen. Risk can be reduced by adopting direct methods that identify the person and these are generally biometric methods, such as iris, face, voice and fingerprint recognition approaches. In this paper, a finger vein recognition method has been implemented in which the effect on performance has of using principal components analysis has been investigated. The data were obtained from the finger-vein database SDMULA-HMT and the images underwent contrast-limited adaptive histogram equalization and noise filtering for contrast improvement. The vein pattern was extracted using repeated line tracking and dimensionality reduction using principal components analysis to generate the feature vector. A ‘speeded-up robust features’ algorithm was used to determine the key points of interest and the Euclidean Distance was used to estimate similarity between database images. The results show that the use of a suitable number of principal components can improve the accuracy and reduce the computational overhead of the verification system.
Description: This paper is closed access until 31st August 2018.
Sponsor: This work was supported by University Malaysia Pahang and funded by Ministry of Higher Education Malaysia under FRGS Grant RDU160108.
Version: Published
DOI: 10.1007/978-981-10-6451-7_24
URI: https://dspace.lboro.ac.uk/2134/27015
Publisher Link: https://doi.org/10.1007/978-981-10-6451-7_24
ISBN: 9789811064500
ISSN: 1876-1100
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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