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Design of an Efficient Face Recognition system using Deep Learning Technique

Author(s): Prasanthi Rathnala1, M.S. Pradeep Kumar Patnaik2, Srinivasa Rao Sura3, Bolla Prasad4, N Siva Mallikarjuna Rao5 and Delione N Rayan6

Publisher : FOREX Publication

Published : 22 September 2022

e-ISSN : 2347-470X

Page(s) : 689-693




Prasanthi Rathnala*, GITAM deemed to be University, India; Email: prathnal@gitam.edu

M.S. Pradeep Kumar Patnaik, GITAM deemed to be University, India; Email: kmanipat@gitam.edu

Srinivasa Rao Sura*, GITAM deemed to be University, India; Email: ssura@gitam.edu

Bolla Prasad, GITAM deemed to be University, India; Email: pbolla@gitam.edu

N Siva Mallikarjuna Rao, GITAM deemed to be University, India; Email: mnandana@gitam.edu

Delione N Rayan, GITAM deemed to be University, India; Email: lnrayan@gmail.com

    [1] Coney.D, Ryan.W, James.A, [2005]. Face detection and tracking. A research report intended to Stevens Institute of Technology, New Jersey.[Cross Ref]
    [2] Lahiru Dinalankara., [2017]. Face detection and face recognition using open computer vision classifiers. An article from research gate intended to University of Plymouth, England.[Cross Ref]
    [3] Marcelo Rovai, Real time face recognition, [2018]. https://towardsdatascience.com/real-time-face-recognition-an-end-to-end-project-b738bb0f7348.[Cross Ref]
    [4] Tejashree.D, Urvashi.U, Rakshandha.C., [2020]. Face detection and recognition using OpenCV and python. International Research Journal of Engineering and Technology (IRJET).[Cross Ref]
    [5] Vineetha Sai.M, Varalakshmi.G, Balakumar.G, Prasad.J., [2017]. Face recognition with Face detection system. A project report intended to Jawaharlal Nehru Technological University, Kakinada.[Cross Ref]
    [6] B. Tej Chinimilli, A. T., A. Kotturi, V. Reddy Kaipu and J. Varma Mandapati, "Face Recognition based Attendance System using Haar Cascade and Local Binary Pattern Histogram Algorithm," 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184), 2020, pp. 701-704, doi: 10.1109/ICOEI48184.2020.9143046.[Cross Ref]
    [7] S. Y. Nikouei, Y. Chen, S. Song, R. Xu, B. -Y. Choi and T. Faughnan, "Smart Surveillance as an Edge Network Service: From Harr-Cascade, SVM to a Lightweight CNN," 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC), 2018, pp. 256-265, doi: 10.1109/CIC.2018.00042.[Cross Ref]
    [8] Shubao Xing, Huifeng Xue and Gang Li, "Study on wavelet transformation-based low illumination & high dirt face detection algorithm," 2011 IEEE 3rd International Conference on Communication Software and Networks, 2011, pp. 534-537, doi: 10.1109/ICCSN.2011.6014326.[Cross Ref]
    [9] W. X. Zhang, Z. K. Yang, W. J. Liu and J. G. Wang, "Synchronous Binocular Visible Light Parallax Map for Face Detection," 2020 7th International Conference on Information Science and Control Engineering (ICISCE), 2020, pp. 1382-1386, doi: 10.1109/ICISCE50968.2020.00278.[Cross Ref]
    [10] R. Guha, "A Report on Automatic Face Recognition: Traditional to Modern Deep Learning Techniques," 2021 6th International Conference for Convergence in Technology (I2CT), 2021, pp. 1-6, doi: 10.1109/I2CT51068.2021.9418068.[Cross Ref]
    [11] Soad Almabdy et al., "Deep Convolutional Neural Network-Based Approaches for Face Recognition", Applied Science, vol. 9, 2019.[Cross Ref]
    [12] Umm-e-Laila, Muzammil Ahmad Khan, Muhammad Kashif Shaikh, bin Mazhar, Syed Annas and Khalid Mehboob, "Comparative analysis for a real time face recognition system using raspberry Pi", 2017 IEEE 4th International Conference on Smart Instrumentation Measurement and Application (ICSIMA), 2017.[Cross Ref]
    [13] L. Fung-Lung, M. Nycander-Barúa and P. Shiguihara-Juárez, "An Image Acquisition Method for Face Recognition and Implementation of an Automatic Attendance System for Events," 2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2019, pp. 1-4, doi: 10.1109/INTERCON.2019.8853603.[Cross Ref]
    [14] Jia-Jing Li and Shih-Chang Huang, "The Implementation of the Visitor Access Control System for the Senior Citizen Based on the LBP Face Recognition", International Conference on Fuzzy Theory and Its Applications, 2017.[Cross Ref]
    [15] Ayman A Wazwaz, Amir O Herbawi, Mohammad J Teeti and Sajed Y Hmeed, "Raspberry Pi and computers-based face detection and recognition system", 2018 4th International Conference on Computer and Technology Applications (ICCTA), 2018.[Cross Ref]
    [16] Ranganathan, G. "Real Life Human Movement Realization in Multimodal Group Communication Using Depth Map Information and Machine Learning." Journal of Innovative Image Processing (JIIP) 2, no. 02 (2020): 93-101. [Cross Ref]
    [17] Balasubramaniam, Vivekanadam. "Facemask Detection Algorithm on COVID Community Spread Control using EfficientNet Algorithm." Journal of Soft Computing Paradigm 3, no. 2 (2021): 110- 122.[Cross Ref]
    [18] Vadthe Narasimha and Dr. M. Dhanalakshmi (2022), Detection and Severity Identification of Covid-19 in Chest X-ray Images Using Deep Learning. IJEER 10(2), 364-369. DOI: 10.37391/IJEER.100250.[Cross Ref]
    [19] A. Sherly Alphonse, S. Vadhana Kumari and P.T.Priyanga (2022), Caries Detection from Dental Images using Novel Maximum Directional Pattern (MDP) and Deep Learning. IJEER 10(2), 100-104. DOI: 10.37391/IJEER.100208.[Cross Ref]

Prasanthi Rathnala, M.S. Pradeep Kumar Patnaik, Srinivasa Rao Sura, Bolla Prasad, N Siva Mallikarjuna Rao and Delione N Rayan (2022), Design of an Efficient Face Recognition system using Deep Learning Technique. IJEER 10(3), 689-693. DOI: 10.37391/IJEER.100345.