期刊论文详细信息
Journal of Computer Science | |
Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks| Science Publications | |
Ahmad M. Sarhan1  | |
关键词: iris; biometrics; CASIA database; cosine transform; artificial neural networks; feature extraction; | |
DOI : 10.3844/jcssp.2009.369.373 | |
学科分类:计算机科学(综合) | |
来源: Science Publications | |
【 摘 要 】
Problem statement: This study presented an efficient Iris recognition system. Approach: The design used the discrete cosine transform for feature extraction and artificial neural networks for classification. The iris images used in this system were obtained from the CASIA database. Results: A robust system for iris recognition was developed. Conclusion: An iris recognition system that produces very low error rates was successfully designed
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201911300152951ZK.pdf | 179KB | download |