Abstract
This paper presents an authentication system based on palmprints. The region of interest (ROI) is extracted from the palmprint image. For the purpose of feature extraction, ROI is divided into a suitable number of nonoverlapping windows of different sizes. Three types of features, viz. Sigmoid, energy, and entropy features, are extracted. These three sets of features are used for the authentication of users using Euclidean distance and support vector machine (SVM) as the classifiers.
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Hanmandlu, M., Mittal, N., Vijay, R. (2013). A Palmprint Recognition System Based on Spatial Features. In: Ao, SI., Gelman, L. (eds) Electrical Engineering and Intelligent Systems. Lecture Notes in Electrical Engineering, vol 130. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2317-1_10
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DOI: https://doi.org/10.1007/978-1-4614-2317-1_10
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