DocumentCode :
2749128
Title :
Iris Recognition Based on Fractal Dimension of Extreme Value Weighted Mean
Author :
Wang, Changyu ; Song, Shangling ; Sun, Fengrong ; Mei, Liangmo
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
9949
Lastpage :
9953
Abstract :
In the area of content-based image retrieval, the feature-matching algorithm based on color histogram intersection ignores the similarity of different color. In located. Then, we proposed extreme value weighted mean image-matching algorithm based on sphere similarity of match stage, we adopted correlation classifier to recognize experimental results show that the new algorithm achieves weighted mean fractal dimension has wide range to express iris. The recognition algorithm is high precise and rapid
Keywords :
edge detection; feature extraction; fractals; image classification; image matching; mathematical morphology; object recognition; color histogram intersection; content-based image retrieval; correlation classifier; eyelid; feature iris inner edge; image matching; iris feature matrix extraction; sphere similarity; Automation; Data mining; Eyelids; Feature extraction; Fractals; Information science; Intelligent control; Iris recognition; Sun; extreme value weighted mean; fractal dimension; iris recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713942
Filename :
1713942
Link To Document :
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