A robust multimodal biometric authentication scheme with voice and face recognition
Author
Source
Arab Journal of Nuclear Sciences and Applications
Issue
Vol. 50, Issue 3 (31 Jul. 2017), pp.120-130, 11 p.
Publisher
The Egyptian Society of Nuclear Science and Applications
Publication Date
2017-07-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper proposes a multimodal biometric scheme for human authentication based on fusion of voice and face recognition.
For voice recognition, three categories of features (statistical coefficients, cepstral coefficients and voice timbre) are used and compared.
The voice identification modality is carried out using Gaussian Mixture Model (GMM).
For face recognition, three recognition methods (Eigenface, Linear Discriminate Analysis (LDA), and Gabor filter) are used and compared.
The combination of voice and face biometrics systems into a single multimodal biometrics system is performed using features fusion and scores fusion.
This study shows that the best results are obtained using all the features (cepstral coefficients, statistical coefficients and voice timbre features) for voice recognition, LDA face recognition method and scores fusion for the multimodal biometrics system.
American Psychological Association (APA)
Kasban, H.. 2017. A robust multimodal biometric authentication scheme with voice and face recognition. Arab Journal of Nuclear Sciences and Applications،Vol. 50, no. 3, pp.120-130.
https://search.emarefa.net/detail/BIM-760046
Modern Language Association (MLA)
Kasban, H.. A robust multimodal biometric authentication scheme with voice and face recognition. Arab Journal of Nuclear Sciences and Applications Vol. 50, no. 3 (Jul. 2017), pp.120-130.
https://search.emarefa.net/detail/BIM-760046
American Medical Association (AMA)
Kasban, H.. A robust multimodal biometric authentication scheme with voice and face recognition. Arab Journal of Nuclear Sciences and Applications. 2017. Vol. 50, no. 3, pp.120-130.
https://search.emarefa.net/detail/BIM-760046
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 129-130
Record ID
BIM-760046