Matlab Project for Emotion and Gender Recognition Using Image Processing || IEEE Based Project || Final Year Projects

ABSTRACT

              The most important and impressive biometric feature of human being is the face. It conveys various information including gender, ethnicity etc. Face information can be applied in many sectors like biometric authentication and intelligent human-computer interface. Many potential applications such as human identification, smart human computer interface, computer vision approaches for monitoring people, passive demographic data collection, and etc needs a successful and dependable classification method. It is really a very challenging job to detect male or female accurately separating two sets of data. So it is very urgent to have a reliable classifier to improve the classification performance.This project presents an approach to extract effective features for face detection and gender classification system. In various biometric applications, gender recognition from facial images plays an important role. In this project gender recognition image sequence have been successfully investigated. Gender recognition plays an important role for a wide range of application in the field of Human Computer Interaction. The system comprises two modules: a face detector and a gender classifier. The human faces are first detected and localized in the input image. Each detected face is then passed to the gender classifier to determine whether it is a male or female.

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Contact:

Mr. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email: roshanphelonde@rediffmail.com