Finger Vein Recognition Based on Gabor Filter
DOI:
https://doi.org/10.61841/4g75x595Keywords:
Feature extraction, Finger vein recognition, 2D-Gabor filterAbstract
This paper introduces another way to deal with improving the presentation of finger-vein ID frameworks exhibited in the writing. The proposed framework all the while secures the finger-vein and low-goals unique mark pictures and joins these two bits of proof utilizing a novel score-level blend methodology. We inspect the recently proposed finger-vein recognizable proof methodologies and build up another methodology that delineates its prevalence over earlier distributed endeavors. To learn the coordination of the exhibition from such images, the use of single-mark images obtained from a webcam is analyzed. We create and explore two new score-level mixes, all-encompassing and nonlinear combinations, and nearly assess them with progressively well-known score-level combination ways to deal with and find out their adequacy in the proposed framework.
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1. Qichuan, T., Runsheng, Z.: The summary of biometric feature identification. Com-puter Application Research 26, 4401–4406 (2009)
2. Chengbo, Y., Huafeng, Q.: Biometric feature identification: finger vein identification technology. Beijing Tsinghua University Press (2009)
3. Miura, N., Nagasaka, A., Miyatake, T.: Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE Transactions on Information and Systems E90D, 1185–1194 (2007)
4. Chengbo, Y., Zhaomin, Z., Hongbing, L., Yanlin, L.: Research on extracting human finger vein pattern characteristics based on residual image. Computer Engineering and Applications 46, 167–169 (2010)
5. Qin, H.F., Qin, L., Yu, C.B.: Region growth-based feature extraction method for finger-vein recognition. Optical Engineering 50, 057208-1–057208-8 (2011)
6. Li, H.B., Yu, C.B., Zhang, D.M., et al.: Study on finger vein image enhancement based on ridgelet transformation. Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition 23, 224–230 (2011)
7. Yang, J.F., Yan, M.F.: An improved method for finger-vein image enhancement
8. In: Proceedings of the 10th IEEE International Conference on Signal Processing (ICSP 2010), Beijing, pp. 1706–1709 (2010)
9. Yang, X., Zhi, L., Zhang, H.X., Zhang, H.: Finger Vein Verification System Based on Sparse Representation. Applied Optics 51, 6252–6258 (2012)
10. Zhang, Y.Y.: Fingerprint image enhancement based on elliptical shape Gabor filter.
11. In: Proceedings of the 6th IEEE International Conference on Intelligent Systems, pp. 344-348 (2012)
12. Wang, Q., Zhang, X.D., Li, M.Q., Dong, X.P., Zhou, Q.H., Yin, Y.: Adaboost and multi-orientation 2D Gabor-based noisy iris recognition. Pattern Recognition Letters 33, 978-983 (2012)
13. Wang, K.J., Ma, H.: Finger vein recognition by improved filtering and correction of Hausdorff distance. Journal of Computer-Aided Design & Computer Graphics 23, 385–391 (2011)
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