Technical Program

Paper Detail

Paper:IMDSP-P6.7
Session:Watermarking I
Time:Wednesday, May 19, 13:00 - 15:00
Presentation: Poster
Topic: Image and Multidimensional Signal Processing: Image and Video Authentication and Watermarking
Title: LIP FEATURES SELECTION WITH APPLICATION TO PERSON AUTHENTICATION
Authors: Lin Leung Mok; City University of Hong Kong 
 Wing Hong Lau; City University of Hong Kong 
 Shu Hung Leung; City University of Hong Kong 
 Shi Lin Wang; City University of Hong Kong 
 Hong Yan; City University of Hong Kong 
Abstract: Authentication system solely based on visual lip information is of advantage since the uttering characteristic/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 second. 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.
 
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