Abstract
Finger vein recognition is a promising biometric authentication technique. Finger vein images include a plurality of lines and can be regarded as a type of texture image. This paper proposes the use of 2D Gabor filters to process finger vein images and extract the texture features for better recognition results. Euclidean distance matching is performed. Experimental results demonstrate the effectiveness of this method.
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Zhang, H., Liu, Z., Zhao, Q., Zhang, C., Fan, D. (2013). Finger Vein Recognition Based on Gabor Filter. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_104
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DOI: https://doi.org/10.1007/978-3-642-42057-3_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42056-6
Online ISBN: 978-3-642-42057-3
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