A novel high performance iris and pupil localization method
Paper in proceeding, 2010

Iris detection is a computationally intensive task in the overall iris biometric processing. In this paper we proposed a technique to localize the iris and the pupil in eye images efficiently and accurately. This paper includes three stages: The first stage is related to finding the centre and radius of pupil. In this stage, the problem of pupil non-uniformity which may appear in some images is solved and the pupil is detected. In the second stage a new approach, based on circular arc search, is proposed to extract iris boundary. The last stage includes wavelet-based feature extraction and classifier design. Our approach has been applied on the CASIA standard database. High accuracy of the proposed iris localization method resulted in a high performance iris recognition system.

Author

Mohammad Alipoor

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

6th Iranian Conf. on Machine Vision and Image Processing (MVIP), 2010

Areas of Advance

Information and Communication Technology

Subject Categories

Computer Systems

More information

Created

10/7/2017