A Succession Multi-Modal Biometric Identification Hypothesis

Abstract

Multibiometrics is the combination of one or more biometrics (e.g., Fingerprint, Iris, and Face). Researchers are focusing on how to provide security to the system, the template which was generated from the biometric need to be protected. The problems of unimodal biometrics are solved by multibiometrics. The main objective is to provide a security to the biometric template by generating a secure sketch by making use of multibiometric cryptosystem and which is stored in a database. Once the biometric template is stolen it becomes a serious issue for the security of the system and also for user privacy. The drawbacks of existing system include accuracy of the biometric need to be improved and the noises in the biometrics also need to be reduced. The proposed work is to enhance the security using multibiometric cryptosystem in distributed system applications like e-commerce transactions, e-banking and ATM. A practically viable multi-biometric recognition system should not only be stable, robust and accurate but should also adhere to real-time processing speed and memory constraints. One of the key features of the author’s framework is that each classifier in the ensemble can be designed to use a different modality thus providing the advantages of a truly multimodal-biometric recognition system. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications. The performance of the proposed system is evaluated both for single and multimodalities to demonstrate the effectiveness of the approach.