Fusion of iris and periocular user authentication by AdaBoost for mobile devices

Today´s mobile devices are likely to store various kinds of personal information, making it important to authenticate mobile device users. Since various types of mobile devices now have cameras, there has been growing interest in authentication based on images of the areas surrounding the eye due to the case of combing with iris and periocular from an image. We propose a method for authenticating mobile device users that uses AdaBoost to derive a fusion score from iris and periocular authentication scores. The use of AdaBoost provides better performance than the use of the weighted sum of the two authentication scores.