关键词: 打印文件识别, 字符结构, 图像分割, k-means算法, 局部二值模式

Abstract: Aiming at the problem that the current image recognition method is limited to the same characters in the sample, this paper presents a method of recognizing the document based on character image segmentation. The k-means algorithm is used to segment the character images, and the local binary pattern texture features are extracted for different regions, thus eliminating the influence of the character structure on the recognition results. To study the recognition of single region feature set and combination feature set, the results show that the proposed method can obtain high recognition accuracy without same characters in the sample.

Key words: print file recognition, character structure, image segmentation, k-means algorithm, Local Binary Pattern（LBP）