摘要
指纹图像质量直接影响指纹识别系统的可靠性,通过评估图像质量可以智能的排除低质量图像从而提高识别系统的准确率。针对指纹图像脊谷结构周期性的交替规律,采用图像共生矩阵与快速傅里叶变换对指纹图像质量从局部纹理和全局结构对进行综合评估,形成局部信息和全局信息相互度量考核的方式。将改进的质量评估算法应用于双指纹识别系统,在FVC2004DB1_B指纹库上进行了实验。实验表明,该方法能够对图像质量进行准确分类,提高了双指纹识别系统的可靠性。
The fingerprint image has a direct influence on the reliability of the fingerprint identification system,and the way of evaluating the quality of the fingerprint image effectively can wisely eliminate the low quality of image to improve the correctness of the system.According to the laws of the periodic alternation rule of the fingerprint image,an algorithm using the way of Image co-occurrence matrix and fast Fourier transform to estimate the quality of a fingerprint image is put forward.An image quality score is given by assessing the local and global information.The algorithm is applied in double fingerprint identification system,and the experimental result come from FVC2004DB1_B fingerprint database show that this method can accurately assess the quality of a fingerprint image and improve the reliability of the fingerprint identification system.
出处
《国外电子测量技术》
2015年第10期32-36,共5页
Foreign Electronic Measurement Technology
关键词
图像处理
质量评估
双指纹识别系统
image processing
image quality
double fingerprint identification
