静脉识别是一种新兴的生物特征识别技术，为了满足静脉识别中的特征提取需求，对手背静脉提取方法进行了研究。首先采用CLAHE算法对手背静脉图像进行增强处理，然后针对传统NIBALCK二值化算法的不足，提出一种局部静态阈值与NIBLACK相结合的改进算法。实验证明，该方法能有效消除传统方法中噪声过多、纹络断裂的现象，克服光强因素对图像提取的影响，保持完整清晰的静脉纹络结构，从而满足后续识别工作的需要。%Vein recognition is an emerging biometric feature recognition technology. In order to meet the demands for the feature extraction in hand vein recognition,a study on hand vein extraction methods is made in this paper. The hand vein image is enhanced with CLAHE algorithm first before the image processing. Because the traditional NIBLACK algorithm for image bina⁃rization processing has some flaws,an improved algorithm combining local static threshold method with NIBLACK algorithm is proposed in this paper. Experimental results show that the method can effectively eliminate the phenomena of noise nimiety and texture break,and overcome the impact of light intensity on the image extraction,which can keep the clear vein structure.
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