Comparing Local Invariant Algorithms for Dorsal Hand Vein Recognition System

Author:

Linsangan Noel B.1,Estacio Rosalina R.2,Torres Jumelyn L.1

Affiliation:

1. School of Electrical, Electronics and Computer Engineering, Mapua University, Manila, Philippines

2. College of Computer Studies and Engineering, Jose Rizal University, Mandaluyong, Philippines

Publisher

ACM Press

Reference19 articles.

1. Ahmed, M., Horbaty, E. and Salem, A. 2015. Intelligent techniques for matching palm vein images. Egyptian Computer Science Journal Vol. 39 No. 1 January 2015. ISSN-1110-2586

2. Aglave, P. and Kolkure, V. 2015. Implementation of high-performance feature extraction method using Oriented FAST and rotated BRIEF Algorithm. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308, Volume: 04 Issue: 02. http://www.ijret.org

3. Caya, M. Durias, J., Linsangan, N. and Chung, W. 2017. Recognition of tongue print biometric using binary robust independent elementary features. 2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) IEEE, DOI: 10.1109/HNICEM.2017.8269441

4. Janes, R., Ferreira, R., and Júnior, B. 2014. A low-cost system for dorsal hand vein patterns recognition using curvelets. In: First International Conference on Systems Informatics, Modelling and Simulation. IEEE Computer Society. DOI 10.1109/SIMS.2014.17

5. Kim, Y., Park, J., Moon, Y. and Oh, C. 2014. Performance analysis of ORB image matching based on android. International Journal of Software Engineering and Its Applications Vol.8, No.3 11--20 http://dx.doi.org/10.14257/ijseia.2014.8.3.02

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Dorsal Hand Vein Recognition System based on Various Machine and Deep Learning Classification Techniques;2023 3rd International Conference on Computing and Information Technology (ICCIT);2023-09-13

2. Real-Time Dorsal Hand Recognition Based on Smartphone;IEEE Access;2021

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