Proceedings ArticleDOI
Lip signatures for automatic person recognition
J.S.D. Mason,J. Brand,R. Auckenthaler,Farzin Deravi,Claude C. Chibelushi +4 more
- pp 457-462
TLDR
In this article, the authors evaluated lip features for person recognition and compared the performance with that of the acoustic signal, and found that the performance of the upper lip was considerably better than the lower lip, achieving 15% and 35% identification error rates respectively.Abstract:
This paper evaluates lip features for person recognition, and compares the performance with that of the acoustic signal. Recognition accuracy is found to be equivalent in the two domains, agreeing with the findings of Chibelushi (1997). The optimum dynamic window length for both acoustic and visual modalities is found to be about 100 ms. Recognition performance of the upper lip is considerably better than the lower lip, achieving 15% and 35% identification error rates respectively, using a single digit test and training token.read more
Citations
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Journal ArticleDOI
Behavioural biometrics: a survey and classification
TL;DR: A survey and classification of the state-of-the-art in behavioural biometrics which is based on skills, style, preference, knowledge, motor-skills or strategy used by people while accomplishing different everyday tasks.
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A review of speech-based bimodal recognition
TL;DR: The components of bimodal recognizers are reviewed, the accuracy of bIModal recognition is discussed, some outstanding research issues as well as possible application domains are highlighted, and the combination of auditory and visual modalities promises higher recognition accuracy and robustness than can be obtained with a single modality.
Journal ArticleDOI
Analysis of lip geometric features for audio-visual speech recognition
TL;DR: Experimental results show that among the geometric visual features analyzed, lip vertical aperture is the most relevant; and the visual feature vector formed by vertical and horizontal lip apertures and the first-order derivative of the lip corner angle leads to the best recognition results.
Journal ArticleDOI
Local Ordinal Contrast Pattern Histograms for Spatiotemporal, Lip-Based Speaker Authentication
TL;DR: A texture descriptor called local ordinal contrast pattern with a dynamic texture representation called three orthogonal planes is used to represent both the appearance and dynamics features observed in visual speech to suggest that there is enough discriminative information in the mouth-region to enable its use as a primary biometric trait.
Book ChapterDOI
Taxonomy of Behavioural Biometrics
TL;DR: This chapter presents a taxonomy of the latest behavioural biometrics, including some future oriented approaches, and addresses privacy issues which arise or might arise in the future with the use of behavioural biometric approaches.
References
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Proceedings ArticleDOI
"Eigenlips" for robust speech recognition
Christoph Bregler,Yochai Konig +1 more
TL;DR: This study improves the performance of a hybrid connectionist speech recognition system by incorporating visual information about the corresponding lip movements by using a new visual front end, and an alternative architecture for combining the visual and acoustic information.