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Detection of Human Facial Parts Using Viola-Jones Algorithm in Group of Faces

Author

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  • Narayan Kulkarni

    (School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded, India)

  • Ashok V. Sutagundar

    (Dr. H. S. Fadewar, School of Computational Sciences, SRTM University, India)

Abstract

Face detection is an image processing technique used in computer system to detect face in digital image. This article proposes an approach to detect faces and facial parts from an image of a group of people using the Viola Jones algorithm. Face detection is used in face recognition and identification systems. Automatic face detection and recognition is most challenging and a fast-growing research area in real-time applications like CC TV surveillance, video tracking, facial expression recognition, gesture recognition, human computer interaction, computer vision, and gender recognition. For face detection purposes various techniques and methods are applied in a computer system. In proposed system, a Viola Jones algorithm is implemented for multiple faces and facial parts and detected with a high rate of accuracy.

Suggested Citation

  • Narayan Kulkarni & Ashok V. Sutagundar, 2019. "Detection of Human Facial Parts Using Viola-Jones Algorithm in Group of Faces," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 10(1), pages 39-48, January.
    • Handle: RePEc:igg:jaec00:v:10:y:2019:i:1:p:39-48
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