Multimodal Biometrics using Face, Ear and Iris Modalities
Snehlata Barde, A. S. Zadgaonkar, Ganesh Ram Sinha · Advances in Information Technology · 2014
Automatic person identification is an important task in computer vision and related applications. Multimodal biometrics involves more than two modalities. The proposed work is an implementation of person identification fusing face, ear and iris biometric modalities used PCA based neural network classifier for feature extraction from the face and ear images and hamming distance for calculating iris templates. These features fused and used for identification. Better result was obtained if the modalities were combined. Identification was made using Eigen faces, Eigen ears, Template of iris and their features tested over the self created image database.