• Raed Awadh Bakunah
• Saeed Mohammed Baneamoon

This paper proposes a human-security system interaction based on amplitude gesture recognition for intelligent bank security. In order to recognizing the amplitude gesture a different processes are implemented in the amplitude gesture recognition analyzing, these processes are face and facial landmark detection, Eye aspect ratio (EAR) and amplitude and duration of blink. The using web camera and successfully implemented a prototype proposed system is tested for the gesture of the amplitude blink with tow eyes successful. The proposed system is evaluated by a number of experiments for security in bank from robbery which is having a detection accuracy rate more efficient compared with other related approaches.

Human–computer interaction, Security system, Gesture recognition and Facial Landmarks.

"An Intelligent Security System for a Bank Based on Amplitude of Blink Gesture Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.504-513, September-2020, Available :http://www.jetir.org/papers/JETIR2009368.pdf

"An Intelligent Security System for a Bank Based on Amplitude of Blink Gesture Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp504-513, September-2020, Available at : http://www.jetir.org/papers/JETIR2009368.pdf