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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhonghua Lin |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China (Zhonghua Lin) |
| Abstract | The non-intrusive property of iris recognition leads to several problems to the images of natural-open eyes and it is hard to increase the accuracy of iris recognition because of these problems. In order to ensure the non-intrusive property as well as achieve an iris recognition which has high accuracy simultaneously, this paper presents a novel iris recognition method based on the natural-open eyes. Firstly, makes preprocess to iris image, ensures the effective iris area adaptively. Secondly, finds all iris feature points by directional information, length information, width information of texture, the neighboring gray information and relativity in the effective iris area. Thirdly, makes codes to feature points and figures the iris pattern by iris codes. Finally, sorts the different iris patterns by auto accommodated pattern matching method and gives the recognition results. Many experiments show the recognition rates of this method can reach 99.687% that can meet the demand of iris recognition. |
| Starting Page | 1090 |
| Ending Page | 1093 |
| File Size | 255120 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458974 |
| e-ISBN | 9781424459001 |
| DOI | 10.1109/ICOSP.2010.5655882 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iris recognition Eyelashes Pixel Iris Eyelids Feature extraction Joining processes adaptive iris recognition natural-open |
| Content Type | Text |
| Resource Type | Article |
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