Smart Gate: Intelligent Security System Based on Face Recognition
Monika Shah1, Deepika Shukla2, Dhara Pandya3
1Monika Shah*, Department of Computer Science & Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India.
2Deepika Shukla, Department of Computer Science & Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India.
3Dhara Pandya, Department of Computer Science & Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India
Manuscript received on December 19, 2019. | Revised Manuscript received on December 27, 2019. | Manuscript published on January 10, 2020. | PP: 601-608 | Volume-9 Issue-3, January 2020. | Retrieval Number: K22340981119/2020©BEIESP | DOI: 10.35940/ijitee.K2234.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Features of Human face is one of the unique biometrics used for identifying and recognizing humans. This makes face recognition system an integral component of numerous applications like identity verification of personnel at gates in many organizations, for controlled access of confidential resources, recognizing intruders by nationwide defense institutions, and such many more. Due to this the unavoidable need of face recognition system, practitioners and researchers are putting their continuous efforts to rectify and optimize the face recognition system for different perspectives in terms of accuracy, time, and storage. The techniques are also optimized for face captured at different degree of orientation, change of facial expression with time, lighting condition, with and without eyeglass and other props, but as isolated solutions. The main aim of the paper is to propose a system that can be installed at any door or gate which would operate based on integrated face recognition. The major contribution of this paper is twofold: i) An integrated face recognition solution optimized for recognizing multiple people faces captured at different orientations and even wearing eyeglasses of different shapes, sizes and materials ii) Smart Gate system being activated upon successful recognition of all faces captured simultaneously.
Keywords: Face Detection, Face Recognition, Feature Extraction, Eyeglass Removal, Smart-Gate.
Scope of the Article: Pattern Recognition