An Eye Localization Method for Iris Recognition

2017 ◽  
pp. 420-427
Author(s):  
Yongliang Zhang ◽  
Xiaozhu Chen ◽  
Xiao Chen ◽  
Dixin Zhou ◽  
Erzhe Cao
Keyword(s):  
Iris Recognition ◽  
Localization Method ◽  
Eye Localization

A Precise Eye Localization Method Based on Ratio Local Binary Pattern

2011 ◽  
Vol 6 (1) ◽  
pp. 126-134 ◽  
Author(s):  
Wencheng Wang ◽  
Faliang Chang ◽  
Guoqiang Zhang ◽  
Xiaoyan Sun
Keyword(s):  
Local Binary Pattern ◽  
Localization Method ◽  
Eye Localization

Boundary Detection for Non-Ideal Iris Based on Gray Transform

2013 ◽  
Vol 441 ◽  
pp. 682-686
Author(s):  
Hong Lin Wan ◽  
Bao Sheng Li ◽  
Hong Sheng Li
Keyword(s):  
Iris Recognition ◽  
Outer Boundary ◽  
Boundary Detection ◽  
Recognition System ◽  
Experimental Results ◽  
Low Contrast ◽  
Localization Accuracy ◽  
Localization Method ◽  
Key Issues

Boundary localization is one of the key issues for reliable iris recognition system. For non-ideal iris images, eyelashes or eyelids occlusions and low contrast between iris and sclera will lead to inaccurate boundary localization. Specifically, if the intensive transition from iris to sclera is too smooth, outer boundary localization will be very difficult. To stress the problem, in this paper the boundary localization method is proposed in which nonlinear gray transformation is innovated in outer boundary localization process. The experimental results depict that our algorithm have improved the localization accuracy for non-ideal iris compared to the classical algorithms.

Eye localization method based on contour detection and D–S evidence theory

2017 ◽  
Vol 12 (4) ◽  
pp. 599-606 ◽  
Author(s):  
Xin Cheng ◽  
Xiangmo Zhao ◽  
Jingmei Zhou ◽  
Heng Zhang
Keyword(s):  
Evidence Theory ◽  
Contour Detection ◽  
Localization Method ◽  
Eye Localization
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