In view of the problems like the difficulty in memorizing passwords, privacy issues and fake information, a new algorithm combined the static and dynamic features based on the android platform for online handwriting recognition is proposed. The proposed algorithm extracts the static texture and dynamic vector features by adopting the combination of text-dependent and text-independent ways on the new smart mobile devices platform. The problems of handwriting acquisition, fake information and less accuracy are solved. It's safe and fast for identification on mobile devices. The experimental results show the proposed algorithm has a great performance in stability, repeatability, accuracy and safety. It can effectively block the attack from intrusion and is high in security.