Handwritten Mathematical Expression Recognizer

Karthiga M; Jayasurya J; Kanimolzhi S; Sreerenusankar V

Handwritten Mathematical Expression Recognizer

October 2022

Vol-8, Issue-5

Paper ID: 18469

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Convolutional neural network Handwritten recognition Neural network mathematical expression data processing Graphical user interface

Abstract

One of the most challenging applications of pattern recognition in deep learning is handwriting recognition. In many fields, including education, engineering, and science, handwritten mathematical expression recognition is helpful. The crux of the issue is recognizing handwritten mathematical formulas written on a tablet or a computer using a mouse. Since many internet programs and websites use handwritten mathematical expressions, they are frequently used. The state-of-the-art model described in this study detects the mathematical statement from the GUI that is produced in real-time with a mouse or pen. A CNN architecture with numerous layers was trained using a dataset of mathematical digits and symbols to make up the suggested design. The proposed model recognizes the mathematical symbols and formulas in an efficient manner.

License

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Author Information

#	Name	Institute / Affiliation
1	Karthiga M	Bannari Amman Institute of Technology
2	Jayasurya J	Bannari Amman Institute of Technology
3	Kanimolzhi S	Bannari Amman Institute of Technology
4	Sreerenusankar V	Bannari Amman Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

M, Karthiga, J, Jayasurya, S, Kanimolzhi, & V, Sreerenusankar (2022). Handwritten Mathematical Expression Recognizer. International Journal of Advance Research and Innovative Ideas In Education, 8(5), 2078-2085.

MLA Style

M, Karthiga, et al. "Handwritten Mathematical Expression Recognizer." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 5, 2022, pp. 2078-2085.

IEEE Style

Karthiga M, Jayasurya J, Kanimolzhi S, and Sreerenusankar V, "Handwritten Mathematical Expression Recognizer," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 5, pp. 2078-2085, 2022.

Vancouver Style

M Karthiga, J Jayasurya, S Kanimolzhi, V Sreerenusankar. Handwritten Mathematical Expression Recognizer. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(5):2078-2085.

Harvard Style

M, Karthiga, J, Jayasurya, S, Kanimolzhi, & V, Sreerenusankar (2022) 'Handwritten Mathematical Expression Recognizer', International Journal of Advance Research and Innovative Ideas In Education, 8(5), pp. 2078-2085.

Chicago Style

M, Karthiga, et al. "Handwritten Mathematical Expression Recognizer." International Journal of Advance Research and Innovative Ideas In Education 8, no. 5 (2022): 2078-2085.

Turabian Style

M, Karthiga, et al. "Handwritten Mathematical Expression Recognizer." International Journal of Advance Research and Innovative Ideas In Education 8, no. 5 (2022): 2078-2085.