Search International and National Patent Collections
|1. (WO2017031716) METHOD FOR ANALYZING AND RECOGNIZING HANDWRITTEN MATHEMATICAL FORMULA STRUCTURE IN NATURAL SCENE IMAGE|
|Applicants:||BEIJING LEJENT TECHNOLOGY CO., LTD
|Inventors:||CHEN, Li jiang
|Title:||METHOD FOR ANALYZING AND RECOGNIZING HANDWRITTEN MATHEMATICAL FORMULA STRUCTURE IN NATURAL SCENE IMAGE|
A method for analyzing and recognizing handwritten mathematical formula structure in natural scene image comprises: S1, converting a gray level matrix of a natural scene image into a local contrast matrix, and performing binary division on the partial contrast matrix by using an otsu method, to obtain a binary matrix; S2, performing connected component analysis on the binary matrix in step S1, to eliminate non-character connected components and obtain character connected components; S3, detecting formula special-structure elements in the character connected components in S2 by using a correlation coefficient method, and separately labeling all the detected special-structure elements; S4, dividing the binary matrix in S1 by using a horizontal projection method; S5: recognizing each character connected component by using a convolutional neural network; and S6, defining an output sequence, and outputting recognition results, in a latex typesetting format, according to the corresponding sequence. The method effectively solves the expression problem of elementary mathematical formulas in OCR recognition.