Segmentation of fingerprint images using linear classifier
文献类型：期刊论文
| 作者 | Chen, XJ; Tian, J ; Cheng, J; Yang, X; Tian, Jie
|
| 刊名 | EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
 |
| 出版日期 | 2004-04-01 |
| 卷号 | 2004期号:4页码:480-494 |
| 关键词 | fingerprint image segmentation block features linear classification image processing |
| 通讯作者 | Tian, Jie |
| 英文摘要 | An algorithm for the segmentation of fingerprints and a criterion for evaluating the block feature are presented. The segmentation uses three block features: the block clusters degree, the block mean information, and the block variance. An optimal linear classifier has been trained for the classification per block and the criteria of minimal number of misclassified samples are used. Morphology has been applied as postprocessing to reduce the number of classification errors. The algorithm is tested on FVC2002 database, only 2.45% of the blocks are misclassified, while the postprocessing further reduces this ratio. Experiments have shown that the proposed segmentation method performs very well in rejecting false fingerprint features from the noisy background. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic |
| 研究领域[WOS] | Engineering |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000221731000005 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8922]  |
| 专题 | 自动化研究所_09年以前成果 |
| 通讯作者 | Tian, Jie |
| 作者单位 | Chinese Acad Sci, Inst Automat, Intelligent Bioinformat Syst Div, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, XJ,Tian, J,Cheng, J,et al. Segmentation of fingerprint images using linear classifier[J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING,2004,2004(4):480-494. |
| APA | Chen, XJ,Tian, J,Cheng, J,Yang, X,&Tian, Jie.(2004).Segmentation of fingerprint images using linear classifier.EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING,2004(4),480-494. |
| MLA | Chen, XJ,et al."Segmentation of fingerprint images using linear classifier".EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING 2004.4(2004):480-494. |
入库方式： OAI收割
来源：自动化研究所
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