Segmentação de iris utilizando bag of keypoints

Abstract

Biometrics is a study field which objective is the person recognition using physical and behavioural traits. These traits can be acquired by specific sensors or by cameras. The biometric systems are used for criminal identification, private areas access or document access. The iris recognition is reliable because the iris does not change in the lifetime and rarely it can be changed accidentally or intentionally since the iris is protected inside the human eye. This master thesis verify the possibility of usage the Bag of Keypoints technique for image parts classification, using SURF points inside these parts to use as seeds of the region growing technique and segment iris for a posterior recognition. Obtained results are of the order of 7% segmentation error and, although less than the state of the art (of the order of 3%), these results indicate the possibility of a more detailed verification of this technique, that can be easily adapted to other uses.