Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion

With the rapidly growing fields of Computer Vision and Artificial Intelligence, automatic person identification is very crucial and important task associated with these technologies. Integrating information which is originating from different sources is one of the major factors for multimodal biometric system design. As multimodal biometrics basically involves more than two modalities so in this proposed work, the implementation of personal identification is performed by fusing face, iris and ear biometric modalities using feature level fusion approach.