手背静脉图像的降噪和分割研究

手背静脉识别是一种新兴的生物特征识别技术。根据手背静脉图像的特点，对静脉图像预处理进行了研究。静脉图像预处理分为图像的降噪和静脉图像的分割两部分。提出了一种混合噪声滤除算法，在判断出的脉冲噪声基础上，根据连通性去掉被误判成脉冲噪声的边缘，有效地滤除了静脉图像中的脉冲噪声和高斯噪声，且较好地保护了静脉图像的细节特征；采用了局部动态阈值算法NIBlack算法对图像进行分割。很好的提取出了手背静脉。

Denoise and segmentation research of hand vein images

The hand vein recognition of is a new biological feature recognition technology. According to the characteristics of hand vein images,the preprocessed method is researched for hand vein images. The preprocess of hand vein images is divided into two parts ： image denoise and segmentation of hand vein images. A denoise algorthm of mixed noise is proposed. On the basis of estimating the impluse noise, the edge of unexpected impluse noise can be removed by connectivity, and the impluse and gauss noise in hand vein images are filtered effectively, the detail features of vein images are retained. The NIBlack algorithm is performed on the segmention of vein image, and the vein images is well extracted.