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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fatima, J. Syed, A.M. Akram, M.U. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. & Software Eng., Bahria Univ., Islamabad, Pakistan (Fatima, J.; Syed, A.M.; Akram, M.U.) |
| Abstract | The retinal recognition technique is yet another step in biometrics, as a very rare but the most accurate authentication method. It contains the distinct property of exceptionally very low false acceptance and false rejection rates. The performance of any biometrics based identification system is enormously affected by its correct matching rate. In this paper, we present a new windowing technique for feature point validation in order to improve the accuracy of retinal vascular pattern recognition. The proposed method applies a windowing technique on skeleton vascular pattern to eliminate false feature points which appear due to vessel breakages, short vessels and spurs. The testing of the proposed methodology is performed using two retinal image databases i.e. VARIA and RIDB. Experimental analysis of given approach shows a significant decrease of false feature points. |
| Sponsorship | IEEE |
| Starting Page | 13 |
| Ending Page | 16 |
| File Size | 1583201 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479906260 |
| DOI | 10.1109/BIOMS.2013.6656142 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-09 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Biometrics (access control) Bifurcation Blood vessels Retina Feature extraction Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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