Multimodal Finger-feature Fusion and Recognition Based on Tolerance Granular Space
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-25417-3_65
Reference23 articles.
1. Yang, J., Zhang, X.: Feature-level fusion of fingerprint and finger-vein for personal identification. J. Pattern Recognition Letters 33, 623–628 (2012)
2. Meraoumia, A., Chitroub, S., Bouridane, A.: Multimodal biometric person recognition system based on fingerprint & finger-knuckle-print using correlation filter classifier. In: 2012 IEEE International Conference on Communications (ICC), pp. 820–824. IEEE Press, Ottawa (2012)
3. Yang, W., Li, Y., Liao, Q.: Fast and Robust Personal Identification by Fusion of Finger Vein and Finger-Knuckle-Print Images. J. Applied Mechanics and Materials. 556, 5085–5088 (2014)
4. Dass, S.C., Jain, A.K.: Fingerprint-Based Recognition. J. Technometrics. 49, 262–276 (2007)
5. Yang, J., Shi, Y.: Towards Finger-Vein Image Restoration and Enhancement for Finger-Vein Recognition. J. Inform. Sci. 268, 33–52 (2014)
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