Novel palmprint representations for palmprint recognition

Hengjian Li; Jiwen Dong; Jinping Li; Lei Wang

doi:10.1117/12.2181151

14 February 2015 Novel palmprint representations for palmprint recognition

Hengjian Li, Jiwen Dong, Jinping Li, Lei Wang

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944505 (2015) https://doi.org/10.1117/12.2181151
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

In this paper, we propose a novel palmprint recognition algorithm. Firstly, the palmprint images are represented by the anisotropic filter. The filters are built on Gaussian functions along one direction, and on second derivative of Gaussian functions in the orthogonal direction. Also, this choice is motivated by the optimal joint spatial and frequency localization of the Gaussian kernel. Therefore,they can better approximate the edge or line of palmprint images. A palmprint image is processed with a bank of anisotropic filters at different scales and rotations for robust palmprint features extraction. Once these features are extracted, subspace analysis is then applied to the feature vectors for dimension reduction as well as class separability. Experimental results on a public palmprint database show that the accuracy could be improved by the proposed novel representations, compared with Gabor.

Citation Download Citation

Hengjian Li, Jiwen Dong, Jinping Li, and Lei Wang "Novel palmprint representations for palmprint recognition", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944505 (14 February 2015); https://doi.org/10.1117/12.2181151

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