摘要
良好的指纹分割算法能够有效的提高特征提取精度和减少后续处理时间,在指纹识别系统的预处理过程中具有重要的作用。在分析了灰度均值计算方法和噪声对方差的影响之后,提出了一种基于指纹图像特征的图像分割算法。通过实验证明,这种方法对含有噪声的指纹图像的分割是有效的,且对不同类型的指纹图像有较高的适应性。
The better fingerprint segmentation can not only improve the accuracy of the feature extraction but also reduce the time of subsequent processing effectively, it is important in fingerprint preprocessing of fingerprint identification system. After analysis of the method of calculating the mean gray-scale and noise impact of variance, we proposed an image segmentation algorithm based on the characteristics of fingerprint image. Experiments proved that this method on the containing noise fingerprint image segmentation is effective, and for different types of fingerprint image has high adaptability.
出处
《电子测量技术》
2009年第8期92-94,99,共4页
Electronic Measurement Technology
关键词
指纹分割
指纹识别
指纹图像特征
噪声
fingerprint segmentation
fingerprint identification
the characteristics of fingerprint image
noise
