• Rohini Sharma
• Ankit Jain (First Author)
• Kirti Bhatia
• Rohini Sharma (corresponding author)
• Shalini Bhadola

Communication can be of two types verbal and non-verbal. Non-verbal communication is performed through the emotions of a person. Emotion detection has gained wide spread popularity in the field of image processing. Emotions can be classified into six main categories; disgust, anger, happiness, fear and surprise. These emotions can be concluded from human's facial jargons and expressions. Emotions are developed through feature extraction from facial expressions in various facial postures and categorizing the expression features. Making computerized system for recognition of human emotion is an astonishing and exciting problem. This application has been extensively used in area like abnormal behavior of a person, security and robotics. This article specifically defines procedure of emotion recognition of human face pictures. We have designed an improved Local binary pattern (LBP) procedure based framework for the determination of human emotion in an effective manner. It is consequential into a method to have finest presentation for the persistence of emotion recognition.

Emotion Recognition Framework, Local Binary Pattern, face recognition, Computer Vision

"AN EMOTION RECOGNITION FRAMEWORK THROUGH LOCAL BINARY PATTERNS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.675-684, May-2019, Available :http://www.jetir.org/papers/JETIR1905B99.pdf

"AN EMOTION RECOGNITION FRAMEWORK THROUGH LOCAL BINARY PATTERNS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp675-684, May-2019, Available at : http://www.jetir.org/papers/JETIR1905B99.pdf