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Shajin Nargunam, A.
- Recital Scrutiny of Multimodal Biometric Based Authentication System by Diverse Fusion Method
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Authors
Affiliations
1 Noorul Islam University, IN
2 Department of EIE, Noorul Islam University, IN
3 Department of ECE, Sun College of Engineering and Technology, IN
1 Noorul Islam University, IN
2 Department of EIE, Noorul Islam University, IN
3 Department of ECE, Sun College of Engineering and Technology, IN
Source
Biometrics and Bioinformatics, Vol 4, No 11 (2012), Pagination: 510-515Abstract
In many real-world applications, unimodal biometric systems often face significant limitations due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other factors. Multibiometric systems seek to alleviate some of these problems by providing multiple pieces of evidence of the same identity. This paper presents an effective fusion scheme that combines information presented by multiple domain experts based on the rank-level fusion integration method. The developed multimodal biometric system possesses a number of unique qualities, starting from utilizing principal component analysis and Fisher‘s linear Discriminant methods for individual matchers (face,iris, and fingerprint) identity authentication and utilizing the novel rank-level fusion method in order to consolidate the results obtained from different biometric matchers. The results indicate that fusion of individual modalities can improve the overall performance of the biometric system, even in the presence of low quality data.Keywords
Biometric Identification System, Neuro Fuzzy, Fisher‘s Linear Discriminant Methods (FLD), Multi Biometric System, Principal Component Analysis (PCA), Rank-Level Fusion.
- Estimation of Performance in Multimodal Biometric based Authentication System using Various Clustering
Abstract Views :194 |
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Authors
Affiliations
1 Department of EIE, Noorul Islam University, Kanyakumari – 629180, Tamil Nadu, IN
1 Department of EIE, Noorul Islam University, Kanyakumari – 629180, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 13 (2016), Pagination:Abstract
Objectives: A swift growth of awareness in biometric based applications can be currently seen in the world. It includes different approaches to solve problems at hand. Methods: In this paper, Rough set with different classifiers are discussed to improve the performance of biometric system based authentication. This paper presents software systems based on rough sets comparing performance evaluation with different classifier techniques, fusion methods, filtering techniques and it provide sophisticated graphical environment. The decision fusion approach of multi modal biometric authentication gives the excellent performance in security system. Findings: A special place among different extensions is taken by the loom that replaces imperceptible relation. In the point of many simplification techniques, variant and extension of rough sets in a consistent appearance of the theory and implementation methodology is in place. This paper is meant to fulfil the specified necessitates and various challenges available in multimodal biometric authentication systems. Applications: This is used in National Secure the borders, Organizational/Enterprise, Identity and access management, Personal, Preventing impersonation (ID theft).Keywords
Classifier, Feature Extraction PSO, Median Filter, PCA, Rough SetsFull Text