IDENTITY RECOGNITION BASED ON MULTIPLE FEATURE FUSION FOR AN EYE IMAGE

摘要

A method for identity recognition based on multiple feature fusion for an eye image, which comprises steps of registering and recognizing, wherein the step of registering comprises: obtaining a normalized eye image and a normalized iris image, for a given registered eye image, and extracting a multimode feature of an eye image of a user to be registered, and storing the obtained multimode feature of the eye image as registration information in a registration database; and the step of recognizing comprises:obtaining a normalized eye image and a normalized iris image, for a given recognized eye image,extracting a multimode feature of an eye image of a user to be recognized,comparing the extracted multimode feature with the multimode feature stored in the database to obtain a matching score, and obtaining a fusion score by fusing matching scores at score level, and performing the multiple feature fusion identity recognition on the eye image by a classifier. The present invention recognizes identity by fusing multiple features of eye regions on a human face, and thus achieves high recognition accuracy and is suitable for applications of high security level.