A Multimodal biometric authentication system using decision theory, iris and speech recognition

Author

Tayal, Akash ; Balasubramaniam, Ramya ; Kumar, Ashwini ; Bahattacharjee, A. ; Saggi, Monisha

Author_Institution

Electron. & Commun. Eng., Guru Gobind Singh Indraprastha Univ. Delhi, Delhi, India

fYear

2009

fDate

20-21 July 2009

Firstpage

1

Lastpage

8

Abstract

This paper proposes a multimodal biometric system that combines iris recognition and speaker identification systems using the energy compaction and time frequency resolution of wavelet analysis., The uniqueness of iris pattern and the robustness of speaker identification based on pitch period estimation complement each other in the proposed system. The paper also critically analyzes the implementation of Daubechies wavelets (Db3 and Db4) in the analysis of iris and speech samples with an endeavor to have a high success rate with optimal computational complexity.

Keywords

authorisation; biometrics (access control); computational complexity; decision theory; image recognition; speaker recognition; wavelet transforms; Daubechies wavelets; computational complexity; decision theory; energy compaction; iris recognition; multimodal biometric authentication system; pitch period estimation; speaker identification systems; speech recognition; time frequency resolution; wavelet analysis; Authentication; Biometrics; Compaction; Decision theory; Energy resolution; Iris recognition; Speech analysis; Speech recognition; Time frequency analysis; Wavelet analysis; Daubechies Wavelet; Decision Theory; Pitch period estimation; Wavelet Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Nonlinear Dynamics and Synchronization, 2009. INDS '09. 2nd International Workshop on

Conference_Location

Klagenfurt

ISSN

1866-7791

Print_ISBN

978-1-4244-3844-0

Type

conf

DOI

10.1109/INDS.2009.5227988

Filename

5227988