A novel adaptive two-phase multimodal biometric recognition system
Joint Authors
Kolli, Venkata Krishna Kishore
Valurouthu, Kamakshi Prasad
Sistla, Venkatramaphanikumar
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 5 (30 Sep. 2019), pp.636-946, 311 p.
Publisher
Publication Date
2019-09-30
Country of Publication
Jordan
No. of Pages
311
Main Subjects
Information Technology and Computer Science
Abstract EN
Multimodal biometric recognition systems are intended to offer authentication without compromising on security, accuracy and these systems also used to address the limitations of unimodal systems like spoofing, intra class variations, noise and non-universality.
In this paper, a novel adaptive two-phase multimodal framework is proposed with face, finger and speech traits.
In this work, face trait reduces the search space by retrieving few possible nearest enrolled candidates to the probe using Gabor wavelets, semi-supervised kernel discriminant analysis and two dimensional- dynamic time warping.
This nonlinear face classification serves as a search space reducer and affects the True Acceptance Rate (TAR).
Later, level-1 and level-2 features of fingerprint trait are fused with Dempster Shafer theory and achieved high TAR.
In the second phase, to reduce FAR and to validate the user identity, a text dependent speaker verification with RBFNN classifier is proposed.
Classification accuracy of the proposed method is evaluated on own and standard datasets and experimental results clearly evident that proposed technique outperforms existing techniques in terms of search time, space and accuracy.
American Psychological Association (APA)
Sistla, Venkatramaphanikumar& Kolli, Venkata Krishna Kishore& Valurouthu, Kamakshi Prasad. 2019. A novel adaptive two-phase multimodal biometric recognition system. The International Arab Journal of Information Technology،Vol. 16, no. 5, pp.636-946.
https://search.emarefa.net/detail/BIM-895107
Modern Language Association (MLA)
Sistla, Venkatramaphanikumar…[et al.]. A novel adaptive two-phase multimodal biometric recognition system. The International Arab Journal of Information Technology Vol. 16, no. 5 (Sep. 2019), pp.636-946.
https://search.emarefa.net/detail/BIM-895107
American Medical Association (AMA)
Sistla, Venkatramaphanikumar& Kolli, Venkata Krishna Kishore& Valurouthu, Kamakshi Prasad. A novel adaptive two-phase multimodal biometric recognition system. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 5, pp.636-946.
https://search.emarefa.net/detail/BIM-895107
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 944-946
Record ID
BIM-895107