• Samta Jain Goya Amity University, Gwalior, MP, India
  • Dr. Arvind K. Upadhyay Amity University, Gwalior, MP, India
  • Dr. R. S. Jadon MITS, Gwalior, MP, India
  • Rajeev Goyal Amity University, Gwalior, MP, India




TLBO, PIFR, PFEF, Feature Extraction


This paper introduces facial expression detection method which is based on facial’s selected feature and optimized those selected features. The study says that human face generally faced generally consist of skin color, texture shape and size of face in this paper we study skin color and texture of human face .This process consist two steps for the same. In first known as detection of expression which uses PFEF (partial feature extension function) and in second, for optimization we used TLBO algorithm is basically a population base searching technics. Also uses soft computation technics because we cannot actual and accurate for human related activity. Varieties of technic are used for the same purpose this as per use hybrid approach to get better result.


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How to Cite

Jain Goya, S., Upadhyay, D. A. K., Jadon, D. R. S., & Goyal, R. (2018). HYBRID APPROACH FOR HUMAN FACIAL EXPRESSION DETECTION THROUGH TLBO AND PFEF. International Journal of Engineering Technologies and Management Research, 5(2), 328–333. https://doi.org/10.29121/ijetmr.v5.i2.2018.664