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Efficient iris recognition by characterizing key local variations
文献类型：期刊论文
| 作者 | Ma, L ; Tan, TN; Wang, YH; Zhang, DX
|
| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2004-06-01 |
| 卷号 | 13期号:6页码:739-750 |
| 关键词 | biometrics iris recognition local sharp variations personal identification transient signal analysis wavelet transform |
| 英文摘要 | Unlike other biometrics such as fingerprints and face, the distinct aspect of iris comes from randomly distributed features. This leads to its high reliability for personal identification, and at the same time, the difficulty in effectively representing such details in an image. This paper describes an efficient algorithm for iris recognition by characterizing key local variations. The basic idea is that local sharp variation points, denoting the appearing or vanishing of an important image structure, are utilized to represent the characteristics of the iris. The whole procedure of feature extraction includes two steps: 1) a set of one-dimensional intensity signals is constructed to effectively characterize the most important information of the original two-dimensional image; 2) using a particular class of wavelets, a position sequence of local sharp variation points in such signals is recorded as features. We also present a fast matching scheme based on exclusive OR operation to compute the similarity between a pair of position sequences. Experimental results on 2 255 iris images show that the performance of the proposed method is encouraging and comparable to the best iris recognition algorithm found in the current literature. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | WAVELET TRANSFORM ; REPRESENTATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000221466400001 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/7975]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ma, L,Tan, TN,Wang, YH,et al. Efficient iris recognition by characterizing key local variations[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2004,13(6):739-750. |
| APA | Ma, L,Tan, TN,Wang, YH,&Zhang, DX.(2004).Efficient iris recognition by characterizing key local variations.IEEE TRANSACTIONS ON IMAGE PROCESSING,13(6),739-750. |
| MLA | Ma, L,et al."Efficient iris recognition by characterizing key local variations".IEEE TRANSACTIONS ON IMAGE PROCESSING 13.6(2004):739-750. |
入库方式： OAI收割
来源：自动化研究所
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