NIBLACK改进算法在手指静脉识别中的应用研究

Research of Finger Vein Recognition Based On Improved NIBLACK Algorithm

手指静脉识别是利用人体手指静脉结构的唯一性实现个体身份认证,具有高度安全和使用便捷等优点,对手指静脉提取方法进行了研究。首先,采用CLAHE算法对手指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,提出了改进后NIBLACK算法的图像分割。实验证明,其算法提取的静脉图像脉络清晰,保留了因光照不均而易丢失的特征细节,对提高系统的识别率和正确率提供了可靠保证。

Finger vein recognition uses the unique of finger vein patterns to identify individual in high security and convenience. This paper makes a study on hand vein extraction methods. Firstly the finger vein image is enhanced with CLAHE algorithm before the image processing. Because the traditional NIBLACK algorithm on image binarization processing has the flaws, then the image segmentation is proposed with an improved algorithm of NIBLACK. Experimental results show that the methods could obtain original and clear vein structure, retain the details of the losable features due to uneven illumination, and it also could improve the recognition rate and accuracy.