Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i32/99276
Year: 2016, Volume: 9, Issue: 32, Pages: 1-8
Original Article
K. Syazana-Itqan, A. R. Syafeeza*, N. M. Saad, Norihan Abdul Hamid and Wira Hidayat Bin Mohd Saad
Machine Learning and Signal Processing Research Group, Center for Telecommunication Research & Innovation (CeTRI), Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka; [email protected]
[email protected]
[email protected]
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*Author for correspondence
Syafeeza
Machine Learning and Signal Processing Research Group
Email:[email protected]
Biometrics trait using finger-vein has attracted numerous attention from researchers all over the world since the last decade. Various approaches have been proposed in regard to improving the accuracy of identification result. This paper discusses on the approaches taken from other researches on preprocessing, feature extraction and classification stage specifically for recognizing individual identity. The strengths and weaknesses of these approaches are critically reviewed. The classification approach using machine learning method is highlighted to determine the future direction and to fill the research gap in this field.
Keywords: Biometric, Classification, Feature Extraction, Finger-Vein, Machine Learning, Preprocessing
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