Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India

Research Article

Implementation of Viola-Jones for Detection of Facial Factors of Human for Prospect of Image Recognition

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  • @INPROCEEDINGS{10.4108/eai.27-2-2020.2303254,
        author={Abdul Wasay Siddiqui and M. Afshar Alam and Harleen Kaur and Jawed Ahmed},
        title={Implementation of Viola-Jones for Detection of Facial Factors of Human for Prospect of Image Recognition},
        proceedings={Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India},
        publisher={EAI},
        proceedings_a={ICIDSSD},
        year={2021},
        month={3},
        keywords={face detection viola-jones haar features adaboost cascading integral images rekognition deep-face face-net machine learning deep learning computer vision},
        doi={10.4108/eai.27-2-2020.2303254}
    }
    
  • Abdul Wasay Siddiqui
    M. Afshar Alam
    Harleen Kaur
    Jawed Ahmed
    Year: 2021
    Implementation of Viola-Jones for Detection of Facial Factors of Human for Prospect of Image Recognition
    ICIDSSD
    EAI
    DOI: 10.4108/eai.27-2-2020.2303254
Abdul Wasay Siddiqui1,*, M. Afshar Alam2, Harleen Kaur2, Jawed Ahmed2
  • 1: Bachelor of Technology, Computer Science and Engineering, Jamia Hamdard University, New Delhi 110025, India
  • 2: Department of Computer Science and Engineering, Jamia Hamdard, New Delhi 110025, India
*Contact email: wasay.siddiqui8@gmail.com

Abstract

This is an application for tracking and detecting human faces and eyes from video or images, which can be used for different purposes and applications. The face is one of the distinguishing factors which can easily be used for the identification of an individual. The primary goal of this paper is to study the Viola-jones (VJ) algorithm, its four stage processes (Haar like Features, Integral Images, Adaboost and Cascading) and its implementation using OpenCV for face, eye and smile detection. It's an adroit algorithm basically targets the frontal faces for better detection accuracy.