Title: A novel approach of speaker authentication by fusion of speech and image features using Artificial Neural Networks
Authors: Anupam Shukla, Ritu Tiwari
Addresses: Department of ICT, ABV-IIITM, Gwalior (MP), India. ' Department of ICT, ABV-IIITM, Gwalior (MP), India
Abstract: This paper presents a decision fusion technique for a bimodal biometric verification system that makes use of facial and speech biometrics. This report considers multimodal biometric systems and their applicability to access control, authentication and security applications. We have simulated three Artificial Neural Network (ANN) models: firstly, speaker identification by speech parameters, secondly person identification by image parameters and finally the person authentication by fusion of speech and image feature. All the three ANN models are trained by Back-propagation algorithm.
Keywords: decision fusion; facial biometrics; bimodal biometric verification; speech biometrics; image processing; image parameters; morphological algorithms; speech processing; speech parameters; neural networks; ANN; back-propagation; training; speaker authentication; access control; security.
International Journal of Information and Communication Technology, 2008 Vol.1 No.2, pp.159 - 170
Published online: 28 Jun 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article