Multi-Modal User Authentication from Video for Mobile or Variable-Environment Applications
In this paper, the authors apply a combination of face and speaker identification techniques to the task of multi-modal (i.e., multi-biometric) user authentication for mobile or variable environment applications. Audio-visual data was collected using a web camera connected to a laptop computer in three different environments: a quiet indoor office, a busy indoor cafe and near a noisy outdoor street intersection. Experiments demonstrated the benefits that may be obtained from using a multimodal approach, even when both input modalities suffer from difficult environmental conditions or a poor match between training and testing conditions.
Provided by: Massachusetts Institute of Technology Topic: Security Date Added: Aug 2007 Format: PDF