Faces and eyes Detection in Digital Images Using Cascade Classifiers

DOI:

https://doi.org/10.18495/comengapp.v7i1.222

Abstract

In this Article we present a way to implementation and detect the face and eyes  on digital image, based on Haar-like features extraction and cascade classifier, these techniques used in 100 % and 92% for faces and eyes detection respectively for the best all cases using low processing time , we used cheap equipment in our work (Acer TravelMate web camera ) . OpenCV library(computer vision library) and Python language used in this work.

Submitted

2017-09-19

Section

Articles