TY - GEN
T1 - Person authentication using ASM based lip shape and intensity information
AU - Mok, L. L.
AU - Lau, W. H.
AU - Leung, S. H.
AU - Wang, S. L.
AU - Yan, H.
PY - 2004
Y1 - 2004
N2 - Authentication system solely based on visual lip information is of advantage since the uttering characteristics/manner is unique to individual and difficult to imitate. This paper will present the study of using lip shape-based and intensity features in person authentication. These features are derived from a 14-point Active Shape Model (ASM) lip model with the use of Principal Component Analysis (PCA). The differential change of the feature parameters reflecting the uttering characteristics are also considered in the study. A database containing the visual utterance of 40 speakers has been generated and each of the utterance is of duration 3 seconds. The visual features are then extracted from this database and a Hidden Markov Model (HMM) classifier is used to perform the analysis. It is observed that the best authentication result is obtained when the first 8 modes of intensity profile is used together with the lip shaped-based parameters. © 2004 IEEE.
AB - Authentication system solely based on visual lip information is of advantage since the uttering characteristics/manner is unique to individual and difficult to imitate. This paper will present the study of using lip shape-based and intensity features in person authentication. These features are derived from a 14-point Active Shape Model (ASM) lip model with the use of Principal Component Analysis (PCA). The differential change of the feature parameters reflecting the uttering characteristics are also considered in the study. A database containing the visual utterance of 40 speakers has been generated and each of the utterance is of duration 3 seconds. The visual features are then extracted from this database and a Hidden Markov Model (HMM) classifier is used to perform the analysis. It is observed that the best authentication result is obtained when the first 8 modes of intensity profile is used together with the lip shaped-based parameters. © 2004 IEEE.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-20444450590&origin=recordpage
U2 - 10.1109/ICIP.2004.1418816
DO - 10.1109/ICIP.2004.1418816
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 780385543
VL - 1
SP - 561
EP - 564
BT - Proceedings - International Conference on Image Processing, ICIP
T2 - 2004 International Conference on Image Processing, ICIP 2004
Y2 - 18 October 2004 through 21 October 2004
ER -