Title :
Multimodal biometric authentication based on voice, face and iris
Author :
Tudor Barbu;Adrian Ciobanu;Mihaela Luca
Author_Institution :
Institute of Computer Science of the Romanian Academy, Iasi, Romania
Abstract :
A multimodal biometric system is proposed in this paper. Our multimodal biometric authentication solution is based on three identifiers: iris, voice and faces. A mel-cepstral voice recognition is described first. Then, face authentication is approached by using SIFT-based features. Next, LAB-based iris recognition approach is proposed. The biometric fusion is performed at the level of the decision module.
Keywords :
"Iris recognition","Face","Training","Face recognition","Speech recognition","Speech","Authentication"
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2015
Print_ISBN :
978-1-4673-7544-3
DOI :
10.1109/EHB.2015.7391373
