Development of a High-Speed and Accurate Face Recognition System Based on FPGAs
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4725-6_36
Reference10 articles.
1. Wang, M., Deng, W.: Deep face recognition: a survey. Neurocomputing 429, 215–244 (2021)
2. Qu, X., Wei, T., Peng, C., Du, P.: A fast face recognition system based on deep learning. In: 2018 11th International Symposium on Computational Intelligence and Design (ISCID), vol. 1, pp. 289–292 (2018)
3. Chen, C.: Design of image recognition system based on FPGA. In: 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), pp. 1924–1928 (2022)
4. Selvi, S.S., Bharanidharan, D., Qadir, A., Pavan, K.R.: FPGA implementation of a face recognition system. In: 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1–5 (2021)
5. Wang, H., Cao, S., Xu, S.: A real-time face recognition system by efficient hardware-software co-design on FPGA SoCs. In: 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), pp. 1–2 (2021)
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