Speaker Identification In Time-Sequential Images Based On Movements Of Lips

With the developments of traditional security authentication and network society, identification, which was effective, safe and real-time, got more and more attention. In the identification based on biological feature, the extraction of biological symbol feature decided the recognition effect..Because the traditional feature extraction of lips based on single static image neglected the movement, and the problems of huge information and low recognition rate, we proposed a method of speaker identification in time-sequential images based on movements of lips. This method extracted feature information of each frame in time-sequential of videos, and HMM models of movements of lips of speakers were constructed and trained to identify. We designed the whole system and the main researches were given below:(1) Based on the researches of some feature extraction based on viewable biologic feature, we constructed a identification system which used time-sequential images to capture the movement of lips to identify. This system comprised three parts:pretreatment, feature extraction and identification.(2) We designed a mixed extraction model with the feature information of internal lips based on feature points, and decreased dimensions of characteristic vector by calculating the similarities. The functional relationships of each part of model and the specific processing methods were given. At last, we verified the feasibility by simulation experiments.(3) We designed the identification model based on time-sequence, which built HMM models to generate observed symbol sequence, and did match with the models in database. The details of several key algorithms were given too, and the performances of our algorithms were analyzed by experiments.