Abstract:In the document, we are intending to present an innovative technique for the multimodal biometric authentication. Initially the input image is preprocessed then offered to feature extraction, where the modified local binary pattern is effectively utilized. Thereafter, the extracted features are furnished to the feature level and score level fusions. In feature level fusion, extracted features are offered to the GSO where the optimal features are shortlisted, and are furnished to the optimized neural network which effectively detects the iris and fingerprint image. In score level fusion, extracted features from the iris image are offered to the PSO and naive bayes classifier here one score value is achieved. After that, extracted features from the fingerprint image are applied to the AGFS and then one score value is attained. Finally, both the score values are combined. The evaluation tools utilized precision, FAR and FRR. The proposed method implemented in MATLAB platform.
The type 2 intuitionistic fuzzy sets (T2IFS) have a greater expressive power in representing the uncertainty involved in the information given by the experts. A very few ranking methods have been proposed to compare the T2IFS based on distance measure. This paper proposes a new distance measure called Jaccard distance for type 2 intuitionistic fuzzy set. This method ranks the T2IFS based on the dissimilarity of the given T2IFS to the ideal set. The properties of distance measure have been proved. The efficiency of proposed method is validate by comparing with existing methods. It is observed that the proposed ranking can rank the T2IFS more effectively when compared to existing methods in some tested contexts. The proposed ranking method is applied in solving a multi criteria group decision making method and the results are analyzed. From the analysis it is observed that the ordering the alternatives using proposed method agrees with the human intuition.
In this paper, we have constructed a sequence of soft points in one soft set with respect to a fixed soft point of another soft set. The convergence and boundedness of these sequences in soft ∆-metric spaces are defined and their properties are established. Further, the complete soft ∆-metric spaces are introduced by defining soft ∆-Cauchy sequences.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.