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Facial expression recognition and age estimation is very important issue in the field of computer vision or HCI that is Human Computer Interaction from last several years. Expression is the most powerful way to display emotion in human being. Expression not only gives information about one's mood but also helps in different applications. Thus study of automatic expression and age estimation system is to be carried out which will take human facial image as input and system will classify that in specific emotion such as angry, disgust, fear, happy, neutral, sad, and surprise and also within a…mehr

Produktbeschreibung
Facial expression recognition and age estimation is very important issue in the field of computer vision or HCI that is Human Computer Interaction from last several years. Expression is the most powerful way to display emotion in human being. Expression not only gives information about one's mood but also helps in different applications. Thus study of automatic expression and age estimation system is to be carried out which will take human facial image as input and system will classify that in specific emotion such as angry, disgust, fear, happy, neutral, sad, and surprise and also within a different age groups. This system consist three basic steps as face detection with pre-processing, Feature extraction and finally classification.
Autorenporträt
Mrs. Arati Prashant Jadhav completed M.E.(Electronics) from Shivaji University, Kolhapur,India. She is currently working as an Asst. Prof. in Sharad Institute of Technology COE, yadrav, Ichalkaranji, INDIA. She is having over 4 years of experience in teaching. Her area of specialization is communication engineering, Image processing.