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。
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.
出处
《计算机应用》
CSCD
北大核心
2008年第11期2904-2907,共4页
journal of Computer Applications
基金
教育部科学技术研究重点项目(208179)
吉林省科技厅项目(20070530)
长春市科技攻关项目(06GJ18)
关键词
指纹图像
质量评估
粗评
细评
边缘细节点
fingerprint image
quality estimation
rough estimation
careful estimation
edge-minutiaes
