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Facial Recognition Using Deep Learning

  • Neelabh Shanker SinghEmail author
  • S. Hariharan
  • Monika Gupta
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 612)

Abstract

Facial recognition is a fast-growing area used widely in identity verification, monitoring, and access control systems. High recognition rate and less training time are key factors in facial recognition problem. In our paper, we have compared artificial neural network (ANN) and convolutional neural network (CNN) for this specified problem. Our dataset contains more than 14,855 images out of which 1325 images with varied expressions and backgrounds are of the subject to be recognized. Results show the supremacy of CNN over ANN in terms of accuracy in facial recognition and less number of epochs, i.e. lesser training time.

Keywords

Artificial neural network Convolution neural network Deep learning Facial recognition 

References

  1. 1.
    Ambeth Kumar VD, Ashok Kumar VD, Malathi S, Vengatesan K, Ramakrishnan M (2018) Facial recognition system for suspect identification using a surveillance cameraGoogle Scholar
  2. 2.
    Rowley HA, Baluja S, Kanade T (1998) Neural network based face detectionGoogle Scholar
  3. 3.
    Huang GB, Ramesh M, Berg T, Learned-Miller EG (2007) Labeled faces in the wild: a database for studying face recognition in unconstrained environments. Technical report, University of Massachusetts, AmherstGoogle Scholar
  4. 4.
    Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: International conference on computer vision.  https://doi.org/10.1109/cvpr.2005.177
  5. 5.
    Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple featuresGoogle Scholar
  6. 6.
    Han X, Li Y (2015) The application of convolution neural networks in handwritten numeral recognitionMathSciNetCrossRefGoogle Scholar
  7. 7.
    Larochelle H, Bengio Y, Louradour J, Lamblin P (2009) Exploring strategies for training deep neural networksGoogle Scholar
  8. 8.
    Vinay A, Reddy DN, Sharma AC, Daksha S, Bhargav NS, Kiran MK, Murthy KNB, Natarajan S (2017) G-NN and F-CNN: two CNN based architectures for face recognitionGoogle Scholar
  9. 9.
    Lin G, Shen W (2018) Research on convolutional neural networks based on improved ReLU piecewise activation functionGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Neelabh Shanker Singh
    • 1
    Email author
  • S. Hariharan
    • 1
  • Monika Gupta
    • 1
  1. 1.Department of Electrical and Electronics EngineeringMaharaja Agrasen Institute of TechnologyRohini, New DelhiIndia

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