Optical Character Recognition System of Math Expressions & Testing Framework

نویسندگان

  • Yakir Dahan
  • Vitali Sepetnitsky
چکیده

In this project we present an application for performing OCR of mathematical expressions, based on segmentation and correspondence nding, based on correlation coe cient. In addition we present a framework which translates the results into a structural data using clues regarding the syntax of mathematical expressions. The framework allows to convert the result to a format compatible with Wolfram Alpha computational engine and transfer it to the engine. ∗ Student at Department of Software Engineering, Ben-Gurion University, Beer-Sheba, Israel † Student at Department of Software Engineering, Ben-Gurion University, Beer-Sheba, Israel

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تاریخ انتشار 2011