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Research on Iris Recognition Algorithm Based on Hough Transform
| Content Provider | Scilit |
|---|---|
| Author | Yiming, Zeng Jun, Wu |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering This paper proposes an iris recognition algorithm based on Hough transform. Firstly, the iris image is preprocessed, and the iris boundary is detected by Hough transform combined with Canny edge detection algorithm. Then, the annular iris region is normalized into a rectangular region by using the Rubber sheet algorithm; then the 1D Log-Gabor filter pair is used. The texture features of the normalized iris image are extracted, and the recognition algorithm based on the Hamming distance classifier is used for the final pattern matching according to actual needs. In this paper, the CASIA Iris Image Database V1.0 iris image database is used as the experimental object, and the simulation is performed on the MATLAB platform to verify the effectiveness of the iris recognition algorithm. Experiments show that the iris recognition method is feasible and effective. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/439/3/032007/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/439/3/032007 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 3 |
| Volume Number | 439 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-11-05 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Hardware and Architecture Hough Transform Algorithm Based Iris Recognition Algorithm Iris Image |
| Content Type | Text |
| Resource Type | Article |
