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
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;
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
DOI :
10.1109/IMCCC.2014.171