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Research Paper | Computer Science Engineering | Volume 7 Issue 2, February 2018 | Pages: 899 - 902 | Iraq
Fuzzy-Cellular Neural Network for Face Recognition HCI Authentication with Light Level Control
Abstract: in this research, We offering a face recognition depended on human-computer interaction (HCI). that the development in the world of computer and software and the entry of computer devices in all areas of life, Many devices are exposed to theft or loss of valuable data so you need to protect, authentication is one of the methods of protection [1]. In this research, we offering a new system for authentication and through this algorithm (CNN) modified with chaos and face recognition, use the sensor in device and fuzzy control rule. The images obtained in real time for 40 persons each person has 10 t0 15 different shot face images, were the results for (FAR =0), (FRR =10 %), (FER =10) and accuracy =90 %, detection time is (710Milliseconds).
Keywords: HCI, HCI authentication, Face recognition, Cellular neural network, Fuzzy
How to Cite?: Haider K. Hoomod, Ahmed A. Ali, "Fuzzy-Cellular Neural Network for Face Recognition HCI Authentication with Light Level Control", Volume 7 Issue 2, February 2018, International Journal of Science and Research (IJSR), Pages: 899-902, https://www.ijsr.net/getabstract.php?paperid=ART201868, DOI: https://dx.doi.org/10.21275/ART201868