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Multi-modal face and speaker identification on a handheld device (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Heisele, Bernd Park, Alex Weinstein, Eugene Kabir, Ryan Hazen, Timothy J. |
| Description | Proc. of the Multimodal User Authentication Workshop |
| Abstract | In general, most systems for face and speaker identification are tested on high quality data collected in well-lit and quiet environments. In this study, we investigate the application of existing face and speaker identification techniques to the task of user authentication on a handheld device. In this context, the audio/visual capture hardware is of lower quality than equipment typically used in laboratory experiments. Additionally, variable background conditions which can degrade the audio/visual signal may be present. These factors can be expected to harm the performance of the system. Under these circumstances, using a combination of biometric modalities can improve the robustness and accuracy of the person identification task. In this paper, we present our approach for combining both face and speaker identification technologies on a handheld device, and experimentally demonstrate a fused multi-modal system which achieves a 90 % reduction in equal error rate over the better of the two independent systems. 1. |
| File Format | |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Quiet Environment Equal Error Rate Biometric Modality Audio Visual Signal Independent System Handheld Device Speaker Identification Technology Laboratory Experiment Speaker Identification Technique Variable Background Condition Audio Visual Capture Hardware Speaker Identification Multi-modal System User Authentication Person Identification Task Multi-modal Face High Quality Data |
| Content Type | Text |
| Resource Type | Conference Proceedings |
