TY - JOUR AU - Jain Goya, Samta AU - Upadhyay, Dr. Arvind K. AU - Jadon, Dr. R. S. AU - Goyal, Rajeev PY - 2018/02/28 Y2 - 2024/03/28 TI - HYBRID APPROACH FOR HUMAN FACIAL EXPRESSION DETECTION THROUGH TLBO AND PFEF JF - International Journal of Engineering Technologies and Management Research JA - Int. J. Eng. Tech. Mgmt. Res. VL - 5 IS - 2 SE - Articles DO - 10.29121/ijetmr.v5.i2.2018.664 UR - https://www.granthaalayahpublication.org/ijetmr-ojms/ijetmr/article/view/IJETMR18-CINSP-43 SP - 328-333 AB - <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> ER -