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A hybrid technique for intelligent bank security system based on blink gesture recognition
Author(s) -
Raed Awadh Bakunah,
Saeed Mohammed Baneamoon
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1962/1/012001
Subject(s) - gesture , computer science , landmark , face (sociological concept) , duration (music) , security system , gesture recognition , speech recognition , artificial intelligence , computer vision , computer security , acoustics , social science , physics , sociology
Enhancement of bank security system plays an important role at the present time due to increasing attempts to expose it to many infringements by criminals. This paper proposes a hybrid technique of amplitude and duration to recognize its blink gestures to increase the accuracy of the human security system’s interaction for intelligent bank security, as this hybrid technique implemented analyzing of face, facial landmark detection, and the duration of the eye aspect ratio (EAR) for blink processes. The proposed hybrid technique is evaluated by experimenting a number of blink gesture with two eyes obtained from web camera and the results shows better and more effective analysis and provide high security bank system.

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