Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform

Sensors

Xianjing Meng²  Yilong Yin¹  Gongping Yang² 

[1] School of Computer Science and Technology, Shandong University, Jinan 250101, China;

关键词: retinal identification;    scale invariant feature transform;    improved circular gabor transform;    iterated spatial anisotropic smooth;   

DOI  :  10.3390/s130709248

来源: mdpi

【 摘 要 】

Retinal identification based on retinal vasculatures in the retina provides the most secure and accurate means of authentication among biometrics and has primarily been used in combination with access control systems at high security facilities. Recently, there has been much interest in retina identification. As digital retina images always suffer from deformations, the Scale Invariant Feature Transform (SIFT), which is known for its distinctiveness and invariance for scale and rotation, has been introduced to retinal based identification. However, some shortcomings like the difficulty of feature extraction and mismatching exist in SIFT-based identification. To solve these problems, a novel preprocessing method based on the Improved Circular Gabor Transform (ICGF) is proposed. After further processing by the iterated spatial anisotropic smooth method, the number of uninformative SIFT keypoints is decreased dramatically. Tested on the VARIA and eight simulated retina databases combining rotation and scaling, the developed method presents promising results and shows robustness to rotations and scale changes.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.