Lip features selection with application to person authentication

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

Volume

3

fYear

2004

fDate

17-21 May 2004

Abstract

Authentication system solely based on visual lip information is of advantage since the uttering characteristics/manner is unique to individual. This paper presents the results of studying for the most appropriate features extracted from the lip motion for person authentication application. The geometric-based, shape-based and inner lip features are derived from a 14-point active shape model (ASM) lip model. The dynamic features reflecting the differential changes of the feature parameters are also considered in the experiment. A database consists of 40 speakers and each of their utterance last for 3 seconds. Various combinations of features obtained by analyzing this database are fed into a hidden Markov model (HMM) classifier for processing. It is observed that the best result has been obtained when both shape-based features and inner lip features are used.

Keywords

biometrics (access control); computational geometry; feature extraction; hidden Markov models; image sequences; HMM classifier; active shape model; feature extraction; geometric-based lip features; hidden Markov model; inner lip features; lip feature selection; person authentication; shape-based lip features; uttering characteristics; visual lip information; Active shape model; Application software; Authentication; Data mining; Feature extraction; Flowcharts; Hidden Markov models; Image segmentation; Solid modeling; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326565

Filename

1326565