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Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications pp 811–816Cite as

An Improved Approach for Face Detection

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1245)

Abstract

Face recognition from an arbitrary image has been a standout amongst the most considered topic in image processing and computer vision. The human face is a convoluted multidimensional visual model and henceforth it is exceptionally hard to build up a computational model to recognize the face. This paper presents an approach depending on the attributes extracted from the image to identify the human face. The proposed approach combines both morphological image processing techniques and cascade object detector capabilities. This method is effective in face detection for arbitrary images.

Keywords

  • Face detection
  • Image processing
  • Object detection

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Author information

Authors and Affiliations

  1. Department of CSE, Madanapalle Institute of Technology & Science (MITS), Madanapalle, India

    C. A. Rishikeshan & C. Rajesh Kumar Reddy

  2. Oceanic IT Convergence Technology Research Center, Hoseo University, Asan, South Korea

    Mohan Krishna Varma Nandimandalam

Authors
  1. C. A. Rishikeshan
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  2. C. Rajesh Kumar Reddy
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  3. Mohan Krishna Varma Nandimandalam
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Corresponding author

Correspondence to C. A. Rishikeshan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

    Assoc. Prof. Vinit Kumar Gunjan

  2. Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Dr. Jacek M. Zurada

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Cite this paper

Rishikeshan, C.A., Rajesh Kumar Reddy, C., Nandimandalam, M.K.V. (2021). An Improved Approach for Face Detection. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_76

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