MATHEMATICAL HANDWRITTEN RECOGNITION

April 2024
Vol-10, Issue-2
Paper ID: 23105
ISSN: 2395-4396
Downloads: 0

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.

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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