Finger knuckle print recognition for personal authentication based on relaxed local ternary pattern in an effective learning framework
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-021-01178-6.pdf
Reference49 articles.
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2. Zhang, L., Zhaang, L., Zhang, D.: Monogenic code: a novel fast feature coding algorithm with applications to finger-knuckle-print recognition. IEEE International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB), 2010, pp. 1–4.
3. Jaswal, G., Kaul, A., Nath, R.: Knuckle print biometrics and fusion schemes overview, challenges, and solutions. ACM Comput. Surv. 49(2), 1–46 (2016)
4. Kumar, A., Ravikanth, C.: Personal authentication using finger knuckle surface. IEEE Trans. Inform. Foren. Sec. 4(1), 98–110 (2009)
5. Sadik M. A., Al-Berry M. N., Roushdy M.: A survey on the finger knuckle prints biometric. In: Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 197–204 (2017)
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