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Two Stages Haar-Cascad Face Detection with Reduced False Positive

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Recent Trends in Data Science and Soft Computing (IRICT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 843))

Abstract

Face detection is one of the top hottest research topics in Computer vision. Human face remains the robust un-cloned biometric identity recognition which is widely used to provide person identity and has many applications for example security access, face recognition and surveillance. A common issue in face detection is that face detection rate is maximized with low threshold but this in contrast increase the false positive rate. In this paper we present two stage framework haar cascade detection algorithm where in the first stage the detected faces are cropped and re-detected by the second stage. The result is a noticeable improvement with false alarm reduction when compared to the pure algorithm alone.

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Acknowledgements

This research was supported by Q.J130000.2409.03G74 (Flagship Grant) and UTM-IRDA MaGICX (Media and Games Innovation Centre of Excellence) Universiti Teknologi Malaysia 81310 Skudai Johor MALAYSIA.

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Authors and Affiliations

  1. Media and Game Innovation Centre of Excellence (MaGICX), Institute of Human Centre Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia

    Abdulaziz Ali Saleh Alashbi & Mohd Shahrizal Bin Sunar

  2. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia

    Qais Ali AL-Nuzaili

Authors
  1. Abdulaziz Ali Saleh Alashbi
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  2. Mohd Shahrizal Bin Sunar
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  3. Qais Ali AL-Nuzaili
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Corresponding author

Correspondence to Abdulaziz Ali Saleh Alashbi .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Nadhmi Gazem

  3. Information Technology Department, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen

    Fathey Mohammed

  4. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Abdelsalam Busalim

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Alashbi, A.A.S., Sunar, M.S.B., AL-Nuzaili, Q.A. (2019). Two Stages Haar-Cascad Face Detection with Reduced False Positive. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_64

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