Optimizing Haar-Cascade Performance for Face Detection Using Median Filter

المؤلفون

  • Mohamed Alhamrouni Computer Science Dept. Faculty of Arts & Science Kasr Khiar, Elmergib University-Libya مؤلف
  • Ahmed Amantsri Computer Science Dept. Faculty of Arts & Science Kasr Khiar, Elmergib University-Libya مؤلف

الكلمات المفتاحية:

Face Detection، Haar cascade، OpenCV2

الملخص

Face detection concentrates on providing more security by using biological features and increasing security and privacy levels. In this paper, we proposed an approach to optimize the Haar-cascade algorithm developed from the OpenCV Computer vision library which was developed by Intel Company. The results revealed a clear enhancement and thereby improved the level of accuracy for the detected faces using Haar-Cascade

التنزيلات

تنزيل البيانات ليس متاحًا بعد.

التنزيلات

منشور

2024-09-01

إصدار

القسم

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