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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fahmy, G. |
| Copyright Year | 2007 |
| Description | Author affiliation: German Univ., Cairo (Fahmy, G.) |
| Abstract | Iris became an important biometric in the last decade, due to its uniqueness and richness of features. In this paper, a novel super-resolution and image registration technique for visual (non-infra-red) iris images is presented. In the proposed technique, a full face, 3 second long, 90 frames, visual video is captured with a digital camera located 3 feet away from each subject. Iris images are segmented from the full face image. A cross correlation model is applied for the registration/ alignment of full gray scale iris images. A high resolution iris image, that is 4 times higher in terms of size and resolution, is constructed from every 9 low resolution images. This process of building a high resolution image is based on an auto_regressive signature model between consecutive low resolution images in filling the sub pixels in the constructed high resolution image. Then this process is iterated until a 16 times higher resolution iris image is constructed. Illustrative images are shown that prove the effectiveness of the proposed technique. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 200939 |
| Page Count | 6 |
| File Format | |
| ISBN | 9775031869 |
| DOI | 10.1109/NRSC.2007.371379 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-03-13 |
| Publisher Place | Egypt |
| Access Restriction | Subscribed |
| Rights Holder | Adademy of Science, Egypt |
| Subject Keyword | Image resolution Iris Biometrics Image registration Image segmentation Videoconference Pixel Image recognition Digital cameras Buildings |
| Content Type | Text |
| Resource Type | Article |
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