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

Authors:
Akash Tayal;Ramya Balasubramaniam;Ashwini Kumar;Anwesha Bhattacharjee;Monisha Saggi
Affiliations:
Electronics and Communication Department, IGIT, GGSIP University, Delhi, India;Electronics and Communication Department, IGIT, GGSIP University, Delhi, India;Electronics and Communication Department, IGIT, GGSIP University, Delhi, India;Computer Science and Engineering Department, IGIT, GGSIP University, Delhi, India;Computer Science and Engineering Department, IGIT, GGSIP University, Delhi, India
Venue:
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Year:
2009

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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.