SALM: Smartphone-Based Identity Authentication Using Lip Motion Characteristics

With rapid development and popularity, smartphones have been of importance in our daily life. Despite of its convenience in communication and computing, smartphones also lead potential security threats to users. Existing methods on smartphones for protecting user's privacy mainly depend on password or fingerprint based authentication. Most smartphone passwords are very simple and easy to guess or crack, and fingerprinting requires extra hardware and hence increases the price of smartphones. In this paper, we present a smartphone-based identity authentication method based on user's lip motion characteristics, called SALM, which can be used as an additional authentication with password. SALM extracts the feature of lip movements as the authentication token, which is unique for each user. We implement SALM using off-the-shelf smartphones and evaluate its performance via extensive experiments. The results show that the overall accuracy of user authentication using SALM (without password) is higher than 96%.