"Implementation of unimodal to multimodal biometrie feature level fusion of combining face iris and ear in multi-modal biometric system"
Shradha D. Jamdar, Yogesh Golhar · 2017 International Conference on Trends in Electronics and Informatics (ICEI) · 2017
In this paper is on combining the features face ear and iris to single modal to multimodal combine of the obtain better accuracy improvement as compared to the privies system. The paper discusses a new research area to introduce ear as the feature for multimodal biometric our system is to implement a multimodal an multialgorithmic biometric system combining Ear iris and Face recognition. We have developed the secure facial features based authentication system Multi modal biometric system is one of the major areas of study identified with large applications in recognition system. Single modal-biometric systems have to challenge with a variety of problems such as intra-class variations, noisy data, non-universality and unacceptable error rates. Some of these limitations can be solved with multi modal Biometric systems. In this paper we are going implement a multi modal biometric system combining the feature of face iris and ear modalities to obtain better accuracy as compared to the privies based system.