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Research Article Open access CC BY 4.0

A Robust and Efficient System to Detect Human Faces Based on Facial Features

Abdelmgeid A. Ali, Tarek Abd El-Hafeez, Yosra Khalaf Mohany

Asian Journal of Research in Computer Science · pp. 1–12 · Published 11 Mar 2019

10.9734/ajrcos/2018/v2i430080

Abstract

Face detection is considered as a one of the most important issues in the identification and authentication systems which use biometric features. Face detection is not straightforward as long as it has lots of dissimilarity of image appearance. Some challenges are required to be resolved to improve the detection process. These challenges include environmental constraints, device specific constraints and the facial feature constraints. Here in our paper we present a modified method to enrich face detection by using combination of Haar cascade files using skin detection, eye detection and nose detection. Our proposed system has been evaluated using Wild database. The experimental results have shown that the proposed system can achieve accuracy of detection up to 96%. Also, here we compared the proposed system with the other face detection systems and the success rate of the proposed system is better than the considered systems.

Face skin eye nose detection authentication HSV color system Cascade classifier Open CV

References (12)

  1. 1 Robust Real-Time Face Detection [DOI]
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  3. 3 Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
  4. 4 Handbook of Face Recognition [DOI]
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  9. 9 Comparative Study of Skin Color Detection and Segmentation in HSV and YCbCr Color Space [DOI]
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  11. 11 HUMAN EYE LOCALIZATION USING EDGE PROJECTIONS [DOI]
  12. 12 A Hybrid Face Detection System using combination of Appearance-based and Feature-based methods

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