Title :
Person authentication using ASM based lip shape and intensity information
Author :
Mok, L.L. ; Lau, W.H. ; Leung, S.H. ; Wang, S.L. ; Yan, H.
Author_Institution :
Dept. of Comput. Eng. & Inf. Technol., City Univ. of Hong Kong, China
Abstract :
An authentication system solely based on visual lip information is of advantage since the uttering characteristics/manner is unique to the individual and difficult to imitate. This paper presents a 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 utterances 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 the intensity profile is used together with the lip shaped-based parameters.
Keywords :
biometrics (access control); face recognition; feature extraction; hidden Markov models; principal component analysis; ASM; HMM classifier; PCA; active shape model; hidden Markov model; intensity information; lip shape; person authentication; principal component analysis; visual feature extraction; Active shape model; Authentication; Feature extraction; Flowcharts; Hidden Markov models; Image segmentation; Information technology; Principal component analysis; Spatial databases; Visual databases;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1418816
