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Research of Fingerprint Identification System based on MBF200

机译:基于MBF200的指纹识别系统的研究

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To aim at characteristics of MBF200 fingerprint images, the preprocessing scheme based on gray balance is proposed firstly. In aspect of the fingerprint segmentation, the introduction of gray balance is adapted to ascertaining threshold value of the segmentation. In other aspect of central point location, the algorithm of block vertical cumulation based on orientation field is improved. Reference by changeable limit boundary box thought, this paper proposes the linearity grade of changeable boundary box method, which is applied to pattern matching of the fingerprint identification system. For verifying the validity of system, this paper adopts the MBF200 fingerprint collection instrument, which is designed by this lab, and test these fingerprint images. The experimental results show that the fingerprint identification system is effective.
机译:针对MBF200指纹图像的特点,首先提出了一种基于灰度平衡的预处理方案。在指纹分割方面,灰度平衡的引入适合于确定分割的阈值。在中心点定位的其他方面,改进了基于方向场的块垂直累积算法。借鉴可变极限边界盒思想,提出了可变边界盒方法的线性度,适用于指纹识别系统的模式匹配。为了验证系统的有效性,本文采用本实验室设计的MBF200指纹采集仪对这些指纹图像进行测试。实验结果表明,该指纹识别系统是有效的。

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