MATHEMATICAL HANDWRITTEN RECOGNITION
Abstract & Details
Research Area
ELECTRONICS AND COMMUNICATION ENGINEERING
Keywords
Recognition
Open benchmark datasets
Capabilities
Digitization
advancements .
Abstract
A Mathematical Handwritten Recognition system is being developed to convert handwritten mathematical notations into digital form, aiming traditional pen-and-paper math symbols with modern digital platforms. This system utilizes advanced machine learning methods and deep neural networks for sequence recognition, enhancing accessibility and productivity in education and professional settings. The project addresses challenges such as different handwriting styles and unclear symbols, for real time processing for fast and precise recognition. End-to-end approaches and multi-modal input methods are emphasized, along with UI design considerations to enhance user experience. The paper discusses evaluation criteria, benchmark datasets, and practical applications across various domains. Future research directions are outlined to further advance handwritten mathematical expression recognition, contributing to the digitization of mathematical communication and improving accessibility for a wide range of users.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | SRIHARI A | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | DHYANESHWARAN N J | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 3 | KALYAN K | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 4 | SHARMILA A | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
A, SRIHARI, J, DHYANESHWARAN N, K, KALYAN, & A, SHARMILA (2024). MATHEMATICAL HANDWRITTEN RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 2621-2628.
MLA Style
A, SRIHARI, et al. "MATHEMATICAL HANDWRITTEN RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 2621-2628.
IEEE Style
SRIHARI A, DHYANESHWARAN N J, KALYAN K, and SHARMILA A, "MATHEMATICAL HANDWRITTEN RECOGNITION," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 2621-2628, 2024.
Vancouver Style
A SRIHARI, J DHYANESHWARAN N, K KALYAN, A SHARMILA. MATHEMATICAL HANDWRITTEN RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):2621-2628.
Harvard Style
A, SRIHARI, J, DHYANESHWARAN N, K, KALYAN, & A, SHARMILA (2024) 'MATHEMATICAL HANDWRITTEN RECOGNITION', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 2621-2628.
Chicago Style
A, SRIHARI, et al. "MATHEMATICAL HANDWRITTEN RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2621-2628.
Turabian Style
A, SRIHARI, et al. "MATHEMATICAL HANDWRITTEN RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2621-2628.
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