Multimodal Biometric Recognition by Combining the Features of Face, Ear and IRIS

Now a day the traditional password identification is replaced by biometric recognition. Normally for the biometric recognition; fingerprint, iris, and face are widely used. Along with them here we are considering ear also. Here we are using ear as one of the biometrics with the existing biometric techniques in order to increase the performance. Images are processed well to reduce False Rejection Rate. The Principal Component Analysis (“eigen ear”) approach was used, obtaining 90.7 % recognition rate. So by combining ear along with face and iris, we get better efficiency. Therefore the features of ear and the features of face and the features of iris are combined together by means of fusion for comparison. Thus by fusing the features of ear, face, and iris we will get the recognition rate of 97%.