Implications of Deep Learning-Based Methods for Face Recognition in Online Examination System
Sujata Patil1, Yogesh Kumar Sharma2, Ranjit Patil3
Ms. Sujata Patil *, Assistant Professor, Department of Computer Science, Dr. D. Y. Patil ACS College, Pimpri, Pune (Maharashtra) India.
Dr. Yogesh Kumar Sharma, Associate Professor, and Research Coordinator, Department of Computer Science and Engineering, Shri JJT University, Jhunjhunu, Rajasthan.
Dr. Ranjit D. Patil, Vice-Principal, and H.O.D, Dr. D.Y. Patil ACS College, Pimpri, Pune (Maharashtra) India.
Manuscript received on 3 August 2019. | Revised Manuscript received on 6 August 2019. | Manuscript published on 30 September 2019. | PP: 1204-1208 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4294098319/19©BEIESP | DOI: 10.35940/ijrte.C4294.098319
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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: In the recent era, the importance of surveillance-related applications is increasing rapidly. In such applications, Face Recognition is becoming an emerging, fast-growing research field in the security authentication systems. Face recognition becomes one of the biometric techniques for identifying individuals face in digital images or in the stored image. It has various applications in biometrics, military, video surveillance and so on. In an earlier age, face recognition techniques implemented using a traditional approach like holistic based, hybrid and feature-based. In the traditional system, there are a number of issues like light illumination, occlusion problem, different facial expressions, and poses of the particular individual. These factors are affecting the accuracy and efficiency of the face recognition system. Nowadays there is an advancement in the technology and methods which are used in the face recognition system. The new methods and techniques of face recognition are devised by deep learning methods. The research focuses on a proposed model developed by using some Deep Learning methods and frameworks for face recognition. This model plays an important role in the authentication of an individual in the online examination system in educational institutes. Multi-level authentication is used for authenticating individual and to have crosschecked over throughout the examination period. The Deep Learning methods and frameworks overcome the issues raised in face recognition by traditional methods. This proposed model used for the authentication of an individual in educational institutes where online examinations are conducted.
Keywords: Face Recognition, Deep Learning, Biometric, authentication, Framework
Scope of the Article: Deep Learning