In this paper, we propose a robust palmprint recognition approach. Firstly, a salient-point based method is applied to segment as well as align the region of interest (ROI) from the palmprint image. Then, a subspace projection technique, namely, independent component analysis (ICA) is performed on the ROI to extract features. Finally, a polynomial neural network (PNN) is used to make classification on reduced feature subspace. The effectiveness of the proposed method has been demonstrated in experiments. © 2010 Springer-Verlag.
CITATION STYLE
Huang, L. L., & Li, N. (2010). Palmprint recognition using polynomial neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6064 LNCS, pp. 208–213). https://doi.org/10.1007/978-3-642-13318-3_27
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