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