Online Handwritten Mathematical Expression Recognition

Hakan Büyükbayrak, B. Yanikoglu, A. Erçil
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引用次数: 13

Abstract

We describe a system for recognizing online, handwritten mathematical expressions, together with a user-interface for writing scientific articles. A neural network recognizes strokes and a recursive algorithm parses the expression by combining neural network output and the structure of the expression. The interface associated with the proposed system integrates the built-in recognition capabilities of the Microsoft's Tablet PC API for recognizing textual input and supports conversion of hand-drawn figures into PNG format. This enables the user to enter text, mathematics and draw figures in a single interface. After recognition, all output is combined into one LATEX code and compiled into a PDF file
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在线手写数学表达式识别
我们描述了一个用于识别在线手写数学表达式的系统,以及一个用于撰写科学文章的用户界面。神经网络识别笔画,递归算法结合神经网络输出和表达式结构来解析表达式。与该系统相关的接口集成了微软平板电脑API的内置识别功能,用于识别文本输入,并支持将手绘图形转换为PNG格式。这使得用户可以在一个界面中输入文本、数学和绘制图形。识别后,将所有输出组合成一个LATEX代码并编译成PDF文件
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