【摘要】 图像处理技术在不同领域应用广泛，但在笔迹检验领域应用尚少。本研究采用基于Python语言的OpenCV图像处理技术对手写笔迹进行分析，通过图像预处理、Canny边缘检测算法提取笔迹轮廓，并在此基础上利用矩特征moments算法得到笔迹不同部位轮廓的质心点，最终通过K均值聚类算法合并笔迹轮廓质心点得到笔迹的几何中心。通过研究发现，同一人书写的相同字迹其笔迹几何中心位置基本保持不变。更多还原

【Abstract】 Image processing technology is widely used in various fields, but its application in handwriting examination is still limited. This research analyzes handwritten scripts by using OpenCV image processing technology based on Python. Through image preprocessing and the Canny edge detection algorithm, handwriting contours are extracted. Subsequently, the centroid points of different parts of the handwriting contours are obtained using the moments algorithm of moment features. Finally,the geometric center of the handwriting is derived by merging the centroid points of the handwriting contours through the K-means clustering algorithm. The study reveals that the position of the geometric center of the same handwriting produced by the same person remains largely unchanged.更多还原