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Sclera Pattern Recognition for Identification
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 156 - Number 7 |
| Year of Publication: 2016 |
| Authors: Rohan Parab, Revathi A. S., Preeti Jha |
10.5120/ijca2016912470
|
Rohan Parab, Revathi A. S., Preeti Jha . Sclera Pattern Recognition for Identification. International Journal of Computer Applications. 156, 7 ( Dec 2016), 34-38. DOI=10.5120/ijca2016912470
Abstract
In this paper a delineate the new human identification method is proposed: sclera recognition technique. Due to the uniqueness of the sclera pattern, it can be used as identification in place of code, fingerprint, face recognition and voice recognition. To distinguish different patterns, some tonal and illumination corrections are performed to get a clear sclera area without disturbing the vessel pattern structure[8]. This paper aims at developing a new method for sclera segmentation which works for both color as well as grayscale images. The blood vessel structure of sclera is different for different people and it lies in the region of the visible wavelengths, therefore it can be used for the human identification method (ID). To obtain shape and structure of a sclera vessel kernel functions are used in order to separate out the magnitude and phase plots. Gabor wavelet filter is a bi-dimensional Gaussian function which separates the R & G plane of the scanned image and due to its 2D nature, the B plane is difficult to plot as well as recognize (mathworks). Also lot of people has blue iris which is difficult to identify, hence plotting the graph of R and G only would be easy.
References
- A. Suganya (PG scholar) and M.Sivitha (Assistant Professor) ,”A New Biometric using Sclera Vein Recognition for Human Identification” in IEEE 2014.
- Abhijit Das, Umapada Pal, Miguel A. Ferrer and Michael Blumenstein,”SSRBC 2016: Sclera Segmentation and Recognition Benchmarking Competition” in IEEE 2016.
- Yong Lin, Eliza Yingzi Du, Senior Member, IEEE, Zhi Zhou, Student Member, IEEE, and N. Luke Thomas,”An Efficient Parallel Approach for Sclera Vein Recognition” in February 2014.
- S. Alkassar, Student Member, IEEE, W. L. Woo,Senior Member, IEEE, S. S. Dlay, and J. A. Chambers, Fellow, IEEE,”Robust Sclera Recognition System With Novel ScleraSegmentation and Validation Techniques” in IEEE 2015.
- S. Alkassar, W. L. Woo, S. S. Dlay and J. A.Chambers,”A novel method for sclera recognition with images captured on-the-move and at-adistance” in 2016 IEEE.
- S. Alkassar, W. L. Woo, S. S. Dlay and J. A. Chambers,” Enhanced Segmentation and Complex- Sclera Features for Human Recognition with Unconstrained Visible-Wavelength Imaging”, in 2016 IEEE.
- Petru Radu, James Ferryman and Peter Wild,”A Robust Sclera Segmentation Algorithm”, 1st in Sclera Segmentation Benchmarking Competition 2015.
- Abhijit Das, Umapada Pal, Miguel A. Ferrer and Michael Blumenstein ,”A new model sclera vessel recognition using OLBP”, in springer international publishing Switzerland 2013.
- Parker, J.R., Duong A.Q,” Gaze tracking: As sclera recognition approach”, in 2009 IEEE (3836-3841).
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