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Handwritten mathematical equation recognition and calculation Using Convolutional Neural Network

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dc.contributor.author Ilangakoon, M. I. T
dc.date.accessioned 2022-03-15T03:54:54Z
dc.date.available 2022-03-15T03:54:54Z
dc.date.issued 2021
dc.identifier.citation Ilangakoon, M. I. T (2021) Handwritten mathematical equation recognition and calculation Using Convolutional Neural Network. BSc. Dissertation Informatics Institute of Technology en_US
dc.identifier.issn 2017324
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/966
dc.description.abstract " Mathematical equation solving is a very common task done by almost all the people in their day to day activities. It is stated that the most common way of solving mathematical equations is by using pen and paper and manually performing the calculations. However, this is time consuming and as humans we intend to do various mistakes when performing calculations. Also, if we are using calculators, there is a possibility of entering the incorrect digits and symbols by mistake. Therefore, this research discusses a solution for that, which is recognizing handwritten mathematical equations by taking a photo of the equation and give out the calculated solution. However, because of the ambiguities of handwritten mathematical digits and symbols it is said that handwritten mathematical equations recognition is very challenging. Therefore, handwritten mathematical equations recognition and calculation using image processing and CNN is said to be very challenging and growing research component in the domain of software engineering." en_US
dc.language.iso en en_US
dc.subject Image processing en_US
dc.subject CNN en_US
dc.subject Equation recognition en_US
dc.title Handwritten mathematical equation recognition and calculation Using Convolutional Neural Network en_US
dc.type Thesis en_US


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