Video based non-cooperative iris segmentation

Yingzi Du; Emrah Arslanturk

doi:10.1117/12.778118

3 April 2008 Video based non-cooperative iris segmentation

Yingzi Du, Emrah Arslanturk

Proceedings Volume 6982, Mobile Multimedia/Image Processing, Security, and Applications 2008; 69820Q (2008) https://doi.org/10.1117/12.778118
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Iris segmentation is one of the most important steps in an iris recognition system. Its accuracy can directly affect the recognition accuracy. For non-cooperative users, the obtained images often do not have good quality. Under such conditions, the iris may be deformed, out-of-focus, or motion blurred. Sometimes, images do not have a valid iris. It is very challenging to segment the iris efficiently and accurately under a non-cooperative scenario. In this paper, we proposed a novel segmentation method that uses a coarse to fine approach to extract the iris region. The preliminary result shows the proposed method is efficient and accurate.

Citation Download Citation

Yingzi Du and Emrah Arslanturk "Video based non-cooperative iris segmentation", Proc. SPIE 6982, Mobile Multimedia/Image Processing, Security, and Applications 2008, 69820Q (3 April 2008); https://doi.org/10.1117/12.778118

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