一种改进的指纹图像分割算法

Improved Fingerprint Image Segmentation Algorithm

针对经典的基于灰度方差的指纹图像分割算法对强噪声区域分割不准确的问题,深入分析了灰度均值计算方法和噪声对方差的影响,结合有效指纹图像区域灰度分布的基本特征,提出了灰度均值求取和灰度方差求取的改进算法。实验结果表明,相比于经典的灰度方差求取算法,改进算法求取的均值和方差更能够代表指纹图像的特征,分割结果更为准确、可靠,对强噪声的抵抗能力更强。

The fingerprint segmentation algorithm based on gray variance can＇t segment those fingerprint images with high noise. After analyzing limitation of the fingerprint image segmentation algorithm based on gray variance ,the paper proposes the improved algorithm to acquire the gray average and gray variance combining to the basic gray distributing character in the valid fingerprint image region. Experimental results indicate that the gray average and gray variance based on the improved algorithm are more representative of the original information of the fingerprint image region than the gray variance based on the classical algorithm. The segmented results of the algorithm proposed in the paper are more exact and reliable.