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| 指纹图像质量评估的研究与应用 | |
| 引用本文： | 赵玉兰,武增光,孟祥萍,刘述.指纹图像质量评估的研究与应用[J].计算机应用,2008,28(11):2904-2907. |
| 作者姓名： | 赵玉兰 武增光 孟祥萍 刘述 |
| 作者单位： | 1. 吉林农业科技学院,信息工程学院,吉林吉林,132101 2. 东北电力大学,信息工程学院,吉林吉林,132012 3. 长春工程学院,电气与信息工程学院,长春,130012 4. 长春工业大学,计算机科学与工程学院,长春,130012 |
| 基金项目： | 教育部科学技术研究重点项目，吉林省科技厅科研项目，吉林省长春市科技攻关项目 |
| 摘 要： | 指纹图像质量评估是自动指纹识别系统(AFIS)中重要的一个环节。指纹采集仪采集的指纹图像质量对预处理及指纹识别的效率有很大的影响。分析了现有的指纹采集细则，对有效面积、灰度变换、干湿、位置偏移等方面对指纹图像质量的影响进行了深入的探讨，并提出一种改进的基于边缘细节点信息的指纹图像质量评估方法,对采集到的指纹图像进行质量评测，为图像的预处理提供质量较高的指纹图像。实验证明，该方法对不合格的指纹图像有较好的过滤效果，有利于提高整个系统的效率。 |
| 关 键 词： | 指纹图像 质量评估 粗评 细评 边缘细节点 |
| 收稿时间： | 2008-05-06 |
| 修稿时间： | 2008-07-11 |
Research and application of fingerprint image quality estimation |
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| ZHAO Yu-lan,WU Zeng-guang,MENG Xiang-ping,LIU Shu.Research and application of fingerprint image quality estimation[J].journal of Computer Applications,2008,28(11):2904-2907. | |
| Authors: | ZHAO Yu-lan WU Zeng-guang MENG Xiang-ping LIU Shu |
| Affiliation: | ZHAO Yu-lan1,WU Zeng-guang 2,MENG Xiang-ping3,LIU Shu4(1.School of Information Engineering,Jilin Agricultural Science , Technology College,Jilin Jilin 132101,China,2.School of Information Engineering,Northeast Dianli University,Jilin Jilin 132012,3.School of Electrical Engineering , Information of Engineering,Changchun Institute of Technology,Changchun Jilin 130012,4.School of Computer Science , Engineering,Changchun University of Technology,China) |
| Abstract: | Fingerprint image quality estimation is an important step of Automatic Fingerprint Identify System (AFIS). The quality of fingerprint image from fingerprint machine seriously affects preprocess and identification. The exiting detailed regulations were analyzed, the influence on fingerprint quality from valid area, range of gray level, dry, wet to deflect were discussed. A new method was proposed to estimate fingerprint image quality based on information about edge-minutiaes, and qualified fingerprint images were provided. Experimental results show that it can filter unqualified fingerprint image effectively, and it is helpful to raise the efficiency of whole system. |
| Keywords: | fingerprint image quality estimation rough estimation careful estimation edge-minutiaes |
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