A Fingerprint Recognition Method Based on Deep Learning

Author:

Li Xin1ORCID,Xie Ming1ORCID,Bin Dongmei1ORCID

Affiliation:

1. Guangxi Power Grid company electric power Science Research Institute, China

Publisher

ACM

Reference20 articles.

1. An overview of touchless 2D fingerprint recognition

2. [2] Asif Ali Laghari, Kaishan Wu, Rashid Ali Laghari, Mureed Ali, and Abdullah Ayub Khan. A review and state of art of internet of things (iot). Archives of Computational Methods in Engineering, pages 1–19, 2021.

3. [3] Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, and Judith Rousseau. Stable resnet. In International Conference on Artificial Intelligence and Statistics, pages 1324–1332. PMLR, 2021.

4. [4] Zhu Minjie, Zhou Diqing, Song Yan, and Zhang Yilian. Fingerprint identification technology of power iot terminal based on network traffic feature. In 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), volume 3, pages 1711–1715. IEEE, 2023.

5. [5] Sandro Nižetić, Petar Šolić, Diego Lopez-de-Ipiña Gonzalez-De, Luigi Patrono, et al. Internet of things (iot): Opportunities, issues and challenges towards a smart and sustainable future. Journal of cleaner production, 274:122877, 2020.

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