Image Processing for Facial Expression Recognition
T. Madhavi Kumari, Chandarni Chakravorty · Journal of Emerging Technologies and Innovative Research · 2021
Human facial expressions give a lots of information’s without communication. It should help in so many areas for virtually rather than articulately. Facial expression recognition important for recognizing for criminal, unhealthy people’s mentality, watching anything in television for that expressions and so on. Facial recognition detect expression using some tools and techniques which will be easy and best way to detect some expression. In this facial expression detection directly detect the expressions of human only using webcam that can be very useful for identify the expression of many other areas.some process used in the image processing for detecting human expression using live image and video as an input. Detecting expression which follow four powerful steps which is very important for every image processing. first step should give the clarity of image if it is live image also it will clear image which is very easy, second step is to registration of image which will crop image and capture image, third step which gives scaling, contrast to image and last step which give emotions name after recognizing all others step. Some steps should follow to recognize the expression. Its input should be human should seat in front of webcam which come after run the code written in python and after execution of code one camera will be open and then it will detect expression as per the movement of facial movement and also video which is store in file both input should be carried out for recognizing the expressions after this input, outcome should come in the format of text which is different emotions name. The output of this project of identify emotions of human should include input as an image format, it should be image which is capture by camera which is store in file and output should be in text format between seven different universal expression.