Біометрична ідентифікація засобами Python та Raspberry Pi.
Ключові слова:
Python, Raspberry Pi, FaceID, біометрія, OpenCV.
Анотація
У даній статті пропонується один з варіантів біометричної ідентифікації, а саме розпізнавання обличь користувачів засобами (одного з найпопулярніших і сучасного) одноплатного комп’ютера Raspberry Pi 4b та з використанням мови програмування Python. Була проведена низка симуляцій та створена база даних користувачів.
Посилання
S. Kostiuchko and V. Tchaban, "Variational Method of Auxiliary Equations in Nonlinear Systems Analysis and Synthesis Problems," 2019 IEEE 20th International Conference on Computational Problems of Electrical Engineering (CPEE), Lviv-Slavske, Ukraine, 2019, pp. 1-5, doi: 10.1109/CPEE47179.2019.8949123.
S. Kostiuchko, O. Kuzmych, A. Aitouche, S. Grinyuk and O. Mekush, "Application of Parametric Sensitivity Method to Analysis of Automatic Mooring Winch with Electric Drive System," 2019 4th Conference on Control and Fault Tolerant Systems (SysTol), Casablanca, Morocco, 2019, pp. 294-299, doi: 10.1109/SYSTOL.2019.8864751.
A. Pentland and T. Choudhury, “Face recognition for smart environments,” Computer, vol. 33, no. 2, pp. 50–55, 2000. [2] R. Chellappa, C. L. Wilson, and S. Sirohey, “Human and machine recognition of faces: A survey,” Proceedings of the IEEE, vol. 83, no. 5, pp. 705–741, 1995.
C. Liu and H. Wechsler, “Evolutionary pursuit and its application to face recognition,” IEEE Transactions on Pattern Analysis & Machine Intelligence, no. 6, pp. 570–582, 2000.
A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, “Content-based image retrieval at the end of the early years,” IEEE Transactions on Pattern Analysis & Machine Intelligence, no. 12, pp. 1349–1380, 2000.
A. M. Burton, S. Wilson, M. Cowan, and V. Bruce, “Face recognition in poor-quality video: Evidence from security surveillance,” Psychological Science, vol. 10, no. 3, pp. 243–248, 1999.
S. Eum, J. K. Suhr, and J. Kim, “Face recognizability evaluation for atm applications with exceptional occlusion handling,” in Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on. IEEE, 2011, pp. 82–89.
T.-Y. Chen, C.-H. Chen, D.-J. Wang, and Y.-L. Kuo, “A people counting system based on face-detection,” in Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on. IEEE, 2010, pp. 699–702.
N. Kar, M. K. Debbarma, A. Saha, and D. R. Pal, “Study of implementing automated attendance system using face recognition technique,” International Journal of computer and communication engineering, vol. 1, no. 2, p. 100, 2012.
S. Tiwari, A. Singh, and S. K. Singh, “Can face and soft-biometric traits assist in recognition of newborn?” in Recent Advances in Information Technology (RAIT), 2012 1st International Conference on. IEEE, 2012, pp. 74–79.
S. Kostiuchko, O. Kuzmych, A. Aitouche, S. Grinyuk and O. Mekush, "Application of Parametric Sensitivity Method to Analysis of Automatic Mooring Winch with Electric Drive System," 2019 4th Conference on Control and Fault Tolerant Systems (SysTol), Casablanca, Morocco, 2019, pp. 294-299, doi: 10.1109/SYSTOL.2019.8864751.
A. Pentland and T. Choudhury, “Face recognition for smart environments,” Computer, vol. 33, no. 2, pp. 50–55, 2000. [2] R. Chellappa, C. L. Wilson, and S. Sirohey, “Human and machine recognition of faces: A survey,” Proceedings of the IEEE, vol. 83, no. 5, pp. 705–741, 1995.
C. Liu and H. Wechsler, “Evolutionary pursuit and its application to face recognition,” IEEE Transactions on Pattern Analysis & Machine Intelligence, no. 6, pp. 570–582, 2000.
A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, “Content-based image retrieval at the end of the early years,” IEEE Transactions on Pattern Analysis & Machine Intelligence, no. 12, pp. 1349–1380, 2000.
A. M. Burton, S. Wilson, M. Cowan, and V. Bruce, “Face recognition in poor-quality video: Evidence from security surveillance,” Psychological Science, vol. 10, no. 3, pp. 243–248, 1999.
S. Eum, J. K. Suhr, and J. Kim, “Face recognizability evaluation for atm applications with exceptional occlusion handling,” in Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on. IEEE, 2011, pp. 82–89.
T.-Y. Chen, C.-H. Chen, D.-J. Wang, and Y.-L. Kuo, “A people counting system based on face-detection,” in Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on. IEEE, 2010, pp. 699–702.
N. Kar, M. K. Debbarma, A. Saha, and D. R. Pal, “Study of implementing automated attendance system using face recognition technique,” International Journal of computer and communication engineering, vol. 1, no. 2, p. 100, 2012.
S. Tiwari, A. Singh, and S. K. Singh, “Can face and soft-biometric traits assist in recognition of newborn?” in Recent Advances in Information Technology (RAIT), 2012 1st International Conference on. IEEE, 2012, pp. 74–79.
Опубліковано
2021-03-30
Як цитувати
Костючко, С., Багнюк, Н., КузьмичO., Поліщук, М., & Кирилюк, Л. (2021). Біометрична ідентифікація засобами Python та Raspberry Pi . КОМП’ЮТЕРНО-ІНТЕГРОВАНІ ТЕХНОЛОГІЇ: ОСВІТА, НАУКА, ВИРОБНИЦТВО, (42), 142-146. https://doi.org/10.36910/6775-2524-0560-2021-42-20
Розділ
Інформатика та обчислювальна техніка
