A Review on Skin Pigment and Vein Pattern Detection Techniques
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24367-7_5
Reference20 articles.
1. Yan, X., Kang, W., Deng, F., Wu, Q.: Palm vein recognition based on multi-sampling and feature-level fusion. Neurocomputing, 151(2), 798–807 (2015). ISSN 0925-2312
2. Chen, T., Zhao, X., Dai, L., Zhang, L., Wang, J.: A novel texture feature description method based on the generalized gabor direction pattern and weighted discrepancy measurement model. Symmetry 8, 109 (2016)
3. Li, X., Liu, X., Liu, Z.: A dorsal hand vein pattern recognition algorithm. In: 2010 3rd International Congress on Image and Signal Processing, Yantai, pp. 1723–1726 (2010)
4. Nurhudatiana, A., Kong, A.W., Matinpour, K., Cho, S.-Y., Craft, N.: Fundamental statistics of relatively permanent pigmented or vascular skin marks for criminal and victim identification. In: 2011 International Joint Conference on Biometrics (IJCB), Washington, DC, 2011, pp. 1–6 (2011)
5. Nurhudatiana, A., Kong, A.W., Altieri, L., Craft, N.: Automated identification of relatively permanent pigmented or vascular skin marks (RPPVSM). In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, pp. 2984–2988 (2013)
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