@article{Jain Goya_Upadhyay_Jadon_Goyal_2018, title={HYBRID APPROACH FOR HUMAN FACIAL EXPRESSION DETECTION THROUGH TLBO AND PFEF}, volume={5}, url={https://www.granthaalayahpublication.org/ijetmr-ojms/ijetmr/article/view/IJETMR18-CINSP-43}, DOI={10.29121/ijetmr.v5.i2.2018.664}, abstractNote={<p><em><strong>This paper introduces facial expression detection method which is based on facial’s selected </strong></em><em><strong>feature and optimized those selected features. The study says that human face generally faced </strong></em><em><strong>generally consist of skin color, texture shape and size of face in this paper we study skin color </strong></em><em><strong>and texture of human face .This process consist two steps for the same. In first known as </strong></em><em><strong>detection of expression which uses PFEF (partial feature extension function) and in second, </strong></em><em><strong>for optimization we used TLBO algorithm is basically a population base searching technics. </strong></em><em><strong>Also uses soft computation technics because we cannot actual and accurate for human related </strong></em><em><strong>activity. Varieties of technic are used for the same purpose this as per use hybrid approach to </strong></em><em><strong>get better result.</strong></em></p>}, number={2}, journal={International Journal of Engineering Technologies and Management Research}, author={Jain Goya, Samta and Upadhyay, Dr. Arvind K. and Jadon, Dr. R. S. and Goyal, Rajeev}, year={2018}, month={Feb.}, pages={328–333} }