Method for identifying adhered handwritten English characters

The invention discloses a method for identifying adhered handwritten English characters, which is used for segmenting and identifying the adhered characters. The method comprises the following steps: firstly, finding a candidate segmentation point based on structural features of an image, taking the candidate segmentation point as an initial segmentation point of a segmentation algorithm, and designing a segmentation rule to determine a segmentation path; performing accurate segmentation on different types of adhesion characters by adopting a multi-strategy segmentation mode; and finally, determining an optimal segmentation path by constructing a segmentation path evaluation method; and sending the segmented handwritten English characters into a recognition model obtained by training the convolutional neural network for recognition, and finally obtaining a recognition result of the adhered handwritten English characters. 本发明公开了一种粘连手写英文字符的识别方法，用于粘连字符的切分和识别。首先，基于图像的结构特征找到候选切分点，以此作为切分算法的起始切分点，设计切分规则确定切分路径；对不同类型的