Sentinel: An Enhanced Multimodal Biometric Access Control System
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28350-5_8
Reference18 articles.
1. Murugan, K.H.S., Jacintha, V., Shifani, S.A.: Security system using raspberry Pi. In: 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM), Chennai, pp. 863–864 (2017)
2. Wati, D.A.R., Abadianto, D.: Design of face detection and recognition system for smart home security application. In: 2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), Yogyakarta, pp. 342–347 (2017)
3. Sayem, I.M., Chowdhury, M.S.: Integrating face recognition security system with the internet of things. In: 2018 International Conference on Machine Learning and Data Engineering (iCMLDE), Sydney, Australia, pp. 14–18 (2018)
4. Mantoro, T., Ayu, M.A., Suhendi: Multi-faces recognition process using haar cascades and eigenface methods. In: 2018 6th International Conference on Multimedia Computing and Systems (ICMCS), Rabat, pp. 1–5 (2018)
5. Gusain, R., Jain, H., Pratap, S.: Enhancing bank security system using face recognition, iris scanner and palm vein technology. In: 2018 3rd International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Bhimtal, pp. 1–5 (2018)
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