A multimodal biometric system coupling iris recognition and speaker identification systems through decision theory

Author

Tayal, Akash ; Balasubramaniam, Ramya ; Kumar, Ashwini ; Bhattacharjee, Anwesha ; Saggi, Monisha

Author_Institution

Electron. & Commun. Dept., GGSIP Univ., Delhi, India

fYear

2009

Firstpage

135

Lastpage

137

Abstract

Using the energy compaction and time frequency resolution of wavelet analysis, the paper proposes to develop a multimodal biometric system that combines iris recognition and speaker identification systems. 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

biometrics (access control); computational complexity; decision theory; image recognition; image resolution; image sampling; speaker recognition; time-frequency analysis; wavelet transforms; Daubechies wavelet; decision theory; energy compaction; iris recognition system; iris sample; multimodal biometric system; optimal computational complexity; pitch period estimation; speaker identification system; speech sample; time-frequency resolution; wavelet analysis; Biometrics; Compaction; Computational complexity; Decision theory; Energy resolution; Iris recognition; Robustness; Speech analysis; Time frequency analysis; Wavelet analysis; Daubechies Wavele; Daugman´s Algorithm; Decision Theory; Multimodal Biometrics;

fLanguage

English

Publisher

ieee

Conference_Titel

Anti-counterfeiting, Security, and Identification in Communication, 2009. ASID 2009. 3rd International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-3883-9

Electronic_ISBN

978-1-4244-3884-6

Type

conf

DOI

10.1109/ICASID.2009.5276939

Filename

5276939