Faces and eyes Detection in Digital Images Using Cascade Classifiers | Zendy

Alhamzawi Hussein Ali Mezher | Zendy

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Faces and eyes Detection in Digital Images Using Cascade Classifiers

Author(s) -

Alhamzawi Hussein Ali Mezher

Publication year - 2018

Publication title -

computer engineering and applications journal

Language(s) - English

Resource type - Journals

eISSN - 2252-5459

pISSN - 2252-4274

DOI - 10.18495/comengapp.v7i1.222

Subject(s) - haar like features , computer science , artificial intelligence , cascading classifiers , computer vision , cascade , python (programming language) , face detection , digital image , classifier (uml) , digital imaging , pattern recognition (psychology) , facial recognition system , image processing , computer graphics (images) , image (mathematics) , random subspace method , chemistry , chromatography , operating system

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.

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