A Novel Algorithm for Feature Level Fusion Using SVM Classifier for Multibiometrics-Based Person Identification
Joint Authors
Zaveri, Mukesh
Gawande, Ujwalla
Kapur, Avichal
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Recent times witnessed many advancements in the field of biometric and ultimodal biometric fields.
This is typically observed in the area, of security, privacy, and forensics.
Even for the best of unimodal biometric systems, it is often not possible to achieve a higher recognition rate.
Multimodal biometric systems overcome various limitations of unimodal biometric systems, such as nonuniversality, lower false acceptance, and higher genuine acceptance rates.
More reliable recognition performance is achievable as multiple pieces of evidence of the same identity are available.
The work presented in this paper is focused on multimodal biometric system using fingerprint and iris.
Distinct textual features of the iris and fingerprint are extracted using the Haar wavelet-based technique.
A novel feature level fusion algorithm is developed to combine these unimodal features using the Mahalanobis distance technique.
A support-vector-machine-based learning algorithm is used to train the system using the feature extracted.
The performance of the proposed algorithms is validated and compared with other algorithms using the CASIA iris database and real fingerprint database.
From the simulation results, it is evident that our algorithm has higher recognition rate and very less false rejection rate compared to existing approaches.
American Psychological Association (APA)
Gawande, Ujwalla& Zaveri, Mukesh& Kapur, Avichal. 2013. A Novel Algorithm for Feature Level Fusion Using SVM Classifier for Multibiometrics-Based Person Identification. Applied Computational Intelligence and Soft Computing،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-477828
Modern Language Association (MLA)
Gawande, Ujwalla…[et al.]. A Novel Algorithm for Feature Level Fusion Using SVM Classifier for Multibiometrics-Based Person Identification. Applied Computational Intelligence and Soft Computing No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-477828
American Medical Association (AMA)
Gawande, Ujwalla& Zaveri, Mukesh& Kapur, Avichal. A Novel Algorithm for Feature Level Fusion Using SVM Classifier for Multibiometrics-Based Person Identification. Applied Computational Intelligence and Soft Computing. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-477828
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477828