Abstract
The need to secure private or sensitive information in our mobile devices, desktop and laptop computers is one of the main problems in information security. Touch gesture behavioral biometrics provides a more convenient method and has so many advantages for authentication purposes. This study provides a comprehensive and critical study of features employed in stroke gesture. In order to reduce the weakness of physiological and behavioral biometrics, extracting the finger pressure, finger size and time for touch gesture features and will addressee and solve the problem. Future work can be done by implementing and testing the touch gesture features and identifies the most suitable classification method.