Title :
Noise detection of iris image based on texture analysis
Author :
Zhang Xiangde ; Wang Qi ; Zhu Hegui ; Yao Cuili ; Gao Longcheng ; Liu Xianyan
Author_Institution :
Coll. of Sci., Northeastern Univ., Shenyang, China
Abstract :
Noise detection is very important in an iris recognition system. A novel noise detection method for iris images is presented in this paper. According to the texture feature of different noises, a 2-D circular Gabor Filter is designed to detect specular reflection and estimate pupil´s location, then, a 1-D peak Gabor Filter is proposed to detect eyelid boundary and eyelashes. Furthermore, eyelid is localized on eyelid boundary image by parabolic Integrodifferential operator. In terms of the experiment on the CASIA-IrisV3-Lamp iris database, which contains 16214 iris images, the correct rate of pupil estimation is 100% and eyelid localization is 99.4% respectively. The results show that the proposed method is quite effective.
Keywords :
Gabor filters; biometrics (access control); image recognition; image texture; integro-differential equations; object detection; 2-D circular Gabor filter; eyelash detection; eyelid boundary image detection; iris recognition system; noise detection method; parabolic integro-differential operator; pupil location estimation; specular reflection detection; texture analysis; Acoustic reflection; Eyelashes; Eyelids; Gabor filters; Image analysis; Image edge detection; Image texture analysis; Iris recognition; Lighting; Noise robustness; Gabor Filter; Integrodifferential Operator; Iris Recognition; Noise Detection; Texture Feature;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192665
