• NARINDER KUMAR

Facial Expression recognition is a term which refers to recognizing the mode of the user according to the facial movements and other facial gestures. A lot of previous researches have been already submitted in the same work with different accuracy rate. The reserch work is try to enhance the accuracy rate by improving the feature extraction methods and classification using Neural Network, along with some pre and post processing steps. Finally, in the end proposed work is compare with the previous classifiers to measure the accuracy rate.

Facial Recognition System, Verification, Lie detection, Linear Discriminant Analysis.

"A HYBRID FRAMEWORK FOR LIE DETECTION USING DYNAMIC FACIAL FEATURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.924-927, May-2020, Available :http://www.jetir.org/papers/JETIR2005131.pdf

"A HYBRID FRAMEWORK FOR LIE DETECTION USING DYNAMIC FACIAL FEATURES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp924-927, May-2020, Available at : http://www.jetir.org/papers/JETIR2005131.pdf