REAL TIME VOTING SYSTEM USING FACE RECOGNITION FOR DIFFERENT EXPRESSIONS AND POSE VARIATIONS

Ganapatikrishna P. Hegde, M. Seetha

Abstract: In this research work different facial expressions and poses of individual person faces are detected and stored in voter database by giving appropriate aadhar card id number. If a person comes for a vote then his or her face is detected and this detected face image is compared with images in voter database and aadhar card id number. If the face image and id number are recognized then person is allowed to cast the vote. If it is not recognized then person is not allowed to vote. After the successful voting process, number of votes to the particular candidate and the party will be counted. This paper illustrates the Haar like features for face detection and eigenface algorithm for face recognition. eigenface method is one of the most basic and efficient methods for face recognition. This paper also shows that if the minimum Euclidian distance from other images of the test image is zero, then the test image absolutely matches the existing image in the database.

Keywords: TIME VOTING SYSTEM USING FACE RECOGNITION

DOI: https://doi.org/10.15623/ijret.2014.0307065