Title :
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
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;
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
DOI :
10.1109/ICASID.2009.5276939
