Voice and Facial Image Integration for Person Recognition

Automatic person recognition systems attempt to use physical or behavioural characteristics in order to perform the recognition task, and to this extent may be compared with humans. The face and voice of a person are two sources of characteristics that can be provide information about the identity of an individual. We describe a person recognition system using face and voice as primary sources of personal identity information. Results of preliminary investigations on person recognition, based on still face profile images and voice, show improved recognition accuracy compared to face profile recognition and voice recognition performed separately. Further, a recognition system based on visual and acoustic speech is proposed.