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Home > Archives > Volume 20, No 5 (2022) > Article

DOI: 10.14704/nq.2022.20.5.NQ22583

Positioning of HAAR Cascade Algorithm and deep learning to predict Real Time Facial expressions

Ganne Naga Sujini,Ayalapogu Ratna Raju,


The most difficult issue in the regions of picture preparation is human face identification. Crude Haar used for human face location along with three extra feeble classifiers is proposed in this paper. Classifiers identify human face using skin shade histogram coordinating, eyes location and mouth identification. Crude-Haar classifier is used to classify images of individuals. A frail classifier is used to extract dominant art of non-human faces based on face skin shade histogram. Eyes in the human face are identified using powerless classifier. Finally mouth is also identified using same classifier. OpenCV is used to produce results on images of individuals. Experimental results show that the proposed method is successful and extracts good number of features from human face and is effective.


Classifiers, Haar-cascading, Opencv.

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