Finger Knuckle Print Feature Extraction Using Artificial Intelligence Algorithm
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-33-4676-5_15
Reference14 articles.
1. Kumar, M.N., Premalatha, K.: Finger knuckle-print identification based on local and global feature extraction using sdost. Am. J. Appl. Sci. 11(6), 929–939 (2014)
2. de Luna-Ortega, C.A., Ramirez-Marquez, J.A., Mora-Gonzalez, M., Martínez-Romo, J.C., Lopez-Luevano, C.A.: Fingerprint verification using the center of mass and learning vector quantization. In: 2013 12th Mexican International Conference on Artificial Intelligence, pp. 123–127. IEEE (2013)
3. Liu, M., Tian, Y., Lihua, L.: A new approach for inner-knuckle-print recognition. J. Vis. Lang. Comput. 25(1), 33–42 (2014)
4. Aoyama, S., Ito, K., Aoki, T.: A finger-knuckle-print recognition algorithm using phase-based local block matching. Inf. Sci. 268, 53–64
5. Kulkarni, S.S., Rout, R.D.: Secure biometrics: finger knuckle print. Int. J. Adv. Res. Comput. Commun. Eng. 1(10) (2012)
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