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论文类型：会议论文

发表时间：2006-08-16

收录刊物：EI、CPCI-S

卷号：4113

页面范围：274-279

摘要：An OCR system is presented to understand mathematical formulas in binary printed document images. The system utilizes a novel component-labeling algorithm for extracting local maximum components from image, and uses these components to locate the mathematical formulas. A character recognition algorithm based on neural networks is then adopted. For segmenting merged characters in the image, a novel segmentation algorithm based on a modified SOM neural network was introduced into the system. With the employment of LL(1) grammar, this system can convert the recognition results into a (LTEX)-T-A file.