Next Article in Journal
An Approach for Characterizing and Comparing Hyperspectral Microscopy Systems
Previous Article in Journal
Parallel Hough Transform-Based Straight Line Detection and Its FPGA Implementation in Embedded Vision
Open AccessArticle

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

School of Computer Science and Technology, Shandong University, Jinan 250101, China
*
Author to whom correspondence should be addressed.
Sensors 2013, 13(7), 9248-9266; https://doi.org/10.3390/s130709248
Received: 3 June 2013 / Revised: 10 July 2013 / Accepted: 12 July 2013 / Published: 18 July 2013
(This article belongs to the Section Physical Sensors)
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. View Full-Text
Keywords: retinal identification; scale invariant feature transform; improved circular gabor transform; iterated spatial anisotropic smooth retinal identification; scale invariant feature transform; improved circular gabor transform; iterated spatial anisotropic smooth
Show Figures

Graphical abstract

MDPI and ACS Style

Meng, X.; Yin, Y.; Yang, G.; Xi, X. Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform. Sensors 2013, 13, 9248-9266. https://doi.org/10.3390/s130709248

AMA Style

Meng X, Yin Y, Yang G, Xi X. Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform. Sensors. 2013; 13(7):9248-9266. https://doi.org/10.3390/s130709248

Chicago/Turabian Style

Meng, Xianjing; Yin, Yilong; Yang, Gongping; Xi, Xiaoming. 2013. "Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform" Sensors 13, no. 7: 9248-9266. https://doi.org/10.3390/s130709248

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop