Universiti Teknologi Malaysia Institutional Repository

Two stages haar-cascad face detection with reduced false positive

Alashbi, A. A. S. and Sunar, M. S. B. and Al-Nuzaili, Q. A. (2019) Two stages haar-cascad face detection with reduced false positive. In: 3rd International Conference of Reliable Information and Communication Technology, IRICT 2018, 23-24 June 2018, Kuala Lumpur, Malaysia.

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Official URL: http://www.dx.doi.org/10.1007/978-3-319-99007-1_64


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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:computer vision and machine learning, face detection, human face classification and localization
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:88479
Deposited By: Narimah Nawil
Deposited On:15 Dec 2020 08:06
Last Modified:15 Dec 2020 08:06

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