Design and Implementation of a Secure Framework for Biometric Identification Based on Convolutional Neural Network Technique
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62881-8_12
Reference22 articles.
1. Cevik, T., Cevik, N., Rasheed, J., et al.: Facial recognition in hexagonal domain—a frontier approach. IEEE Access 11, 46577–46591 (2023)
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3. Rasheed, J., Alimovski, E., Rasheed, A., et al.: Effects of glow data augmentation on face recognition system based on deep learning. In: 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1–5. IEEE (2020)
4. Abdullah, R.M., Alazawi, S.A.H., Ehkan, P.: SAS-HRM: secure authentication system for human resource management. Al-Mustansiriyah J. Sci. 34(3), 64–71 (2023)
5. Waziry, S., Wardak, A.B., Rasheed, J., et al.: Intelligent facemask coverage detector in a world of chaos. Processes 10, 1710 (2022). https://doi.org/10.3390/pr10091710
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