中文摘要：

针对传统算法精度低、速度慢的问题，提出一种改进的SURF算法．算法采用一种全新的Harr-like特征描述符，增加有效特征点个数，提高描述子鉴别力，同时结合BBF搜索方法，提升匹配速度．实验表明，与原有SURF算法相比，改进算法的匹配点对数增加了15％以上，同时提高了速度．算法的改善为图像匹配技术在印刷行业的应用开拓了更广阔的前景．

英文摘要：

Aiming at the problem of low precision and slow speed of traditional algorithms, this paper proposes an improved SURF algorithm. The algorithm uses a brand new Hart-like feature descriptor to increase the number of valid feature points and improve the discriminant ability of the descriptors. At the same time we combined with BBF search method to enhance the matching speed. The experimental results show that the matching point of the improved algorithm is increased by more than 15% compared with the original SURF algorithm, and the speed is also improved. The improvement of the algorithm opens up a broader prospect for the application of image matching technology in the printing industry.