Instead of existing image based and geometry based quality estimation method for finger vein image, this paper proposed a novel quality metrics from the hierarchical structure of finger vein. The thick major vessels and short minor vessels construct the hierarchical structure of finger vein, and lead to the hierarchical energy distribution. A Gaussian Energy Model is simulated to assess the hierarchical quality of the major vessel and the minor vessel respectively using Gabor filter. The efficient of matching performance and the accuracy of quality assessment are evaluated in the experimental parts. © Springer International Publishing 2013.
CITATION STYLE
Xie, S. J., Zhou, B., Yang, J., Lu, Y., & Pan, Y. (2013). Novel hierarchical structure based finger vein image quality assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8232 LNCS, pp. 266–273). https://doi.org/10.1007/978-3-319-02961-0_33
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