DocumentCode
1779039
Title
Quality Evaluation of the Sequence Iris Image
Author
Yanhua Zhou ; Liuyang Cao ; Fei Yan ; Yantao Tian
Author_Institution
Coll. of Commun. Eng., Jilin Univ., Changchun, China
fYear
2014
fDate
18-20 Sept. 2014
Firstpage
809
Lastpage
814
Abstract
Iris recognition technology is one of the most promising biological recognition technologies now. In order to ensure the efficiency and accuracy of recognition algorithm, we need to evaluate the quality of iris images. Five indexes are used to evaluate the iris images. These indexes are eyelid occlusion, living, definition, eyelashes occlusion and cosmetic contact lenses respectively. In this way, the poor quality of images will be removed, and the rest of images will be located and segmented. Experiment results show that the proposed method can accurately eliminate the poor quality of images. This result is consistent with the subjective evaluation. After image quality evaluation, the iris images will be located and segmented accurately. It is almost 100%.
Keywords
image segmentation; image sequences; iris recognition; biological recognition technologies; image quality evaluation; iris image segmentation; iris recognition technology; sequence iris image; subjective evaluation; Eyelashes; Histograms; Image quality; Iris; Iris recognition; Lenses; Wavelet packets; gray histogram; iris image; quality evaluation; wavelet packet decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-6574-8
Type
conf
DOI
10.1109/IMCCC.2014.171
Filename
6995141
Link To Document