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Smart Gate: Intelligent Security System Based on Face Recognition
Author(s) -
Mubarak Shah,
Deepika Shukla,
D. H. Pandya
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2234.019320
Subject(s) - facial recognition system , face (sociological concept) , biometrics , face recognition grand challenge , computer science , face detection , three dimensional face recognition , identity (music) , orientation (vector space) , confidentiality , artificial intelligence , human–computer interaction , computer vision , pattern recognition (psychology) , computer security , social science , physics , geometry , mathematics , sociology , acoustics
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.

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