Multimodal Biometric Techniques Research Articles

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Biometric security is a major emerging concern in the field of data security. In recent years, research initiatives in the field of biometrics have grown at an exponential rate. The multimodal biometric technique with enhanced accuracy and recognition rate for smart cities is still a challenging issue. This paper proposes an enhanced multimodal biometric technique for a smart city that is based on score-level fusion. Specifically, the proposed approach provides a solution to the existing challenges by providing a multimodal fusion technique with an optimized fuzzy genetic algorithm providing enhanced performance. Experiments with different biometric environments reveal significant improvements over existing strategies. The result analysis shows that the proposed approach provides better performance in terms of the false acceptance rate, false rejection rate, equal error rate, precision, recall, and accuracy. The proposed scheme provides a higher accuracy rate of 99.88% and a lower equal error rate of 0.18%. The vital part of this approach is the inclusion of a fuzzy strategy with soft computing techniques known as an optimized fuzzy genetic algorithm.

Palm and Fingerprint Based Multimodal Biometric Technique

The biometric based personal authentication method is a technique used for computing and analyzing the physical and/or behavioral characteristics of the person. The in future the biometric system may provide an alternative of digital solution to the ID cards, passwords, driving licenses, passports, etc. Nowadays the researcher and scientist are given interest on multimodal biometric because multimodal biometric gives more security and reliability over the single biometric technique. In this paper, we proposed a multimodal biometric technique based one palm and fingerprint. The IITD palmprint and UPEK fingerprint database used for the experimental evolution.

Secured Voting System with Multimodal Biometric Technique using ANN

Secured Voting System with Multimodal Biometric Technique using ANN

Enhancing the security of modern ICT systems with multimodal biometric cryptosystem and continuous user authentication

Most information and communication technology ICT systems authenticate the users with user name and password, only at the session establishment and no checks are performed further. Current security and transparency of the systems are enhanced by substituting user authentication with multimodal biometric techniques along with the continuous and sequential user authentication. In that the major apprehensions are outsourcing the biometric traits can be easily tainted by the non-legitimate users and the memory consumption will be high. To surmount these disquiets, in this paper, a framework pedestal on multimodal biometric cryptosystem with continuous and chronological authentication is proposed. In the enrolment phase, no raw biometric traits are accumulated instead encrypted and fused binary strings of the multimodal biometric traits are loaded. Subsequently in the authentication phase, authentication is continuous and sequential. As a result the recital of the proposed framework is enhanced in terms of security and memory utilisation.

An optical authentication system based on encryption technique and multimodal biometrics

Abstract A major concern nowadays for a biometric credential management system is its potential vulnerability to protect its information sources. To prevent a genuine user's templates from both internal and external threats, a novel and simple method combined optical encryption with multimodal biometric authentication technique is proposed. In this method, the standard biometric templates are generated real-timely by the verification keys owned by legal user so that they are unnecessary to be stored in a database. Compared with the traditional recognition algorithms, storage space and matching time are greatly saved. In addition, the verification keys are difficult to be forged due to the utilization of optical encryption technique. Although the verification keys are lost or stolen, they are useless for others in absence of the legal owner's biometric. A series of numerical simulations are performed to demonstrate the feasibility and performance of this method.