PERSONAL IDENTIFICATION SYSTEM BASED ON HUMAN IRIS RECOGNITION | ||||
| The International Conference on Electrical Engineering | ||||
| Article 12, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Page 1-14 PDF (664.32 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2006.33517 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Osama Fathy Hegazy | ||||
| Phd. Computer Science Department, Cairo Higher Institute for Computers, Information and Management, Cairo Academy, Golf Region, Cairo, Egypt. | ||||
| Abstract | ||||
| ABSTRACT The biometric person identification technique based on the pattern of the human iris is a very costly top secure application. This paper describes a personal identification system based on the human iris imaging through providing a set of algorithms that describes image acquisition, image segmentation, feature extraction and pattern forming. For image acquisition, we present an image enhancement algorithm in order to get more accurate image feature results. In addition, we propose a boundary localization algorithm, which used to find the pupil boundary. A new iris recognition method that analyzes local variations of the iris is used to construct a Feature Selection Vector (FSV) that can be used to extract features of any iris image size. Extensive experimental results using Pearson's correlation coefficient to verify one’s identity on CASIA iris images database shows that the proposed system is effective and encouraging. | ||||
| Keywords | ||||
| Iris recognition; Biometric Identification; Image Segmentation; Pattern Recognition; Pearson's Correlation Coefficient | ||||
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