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Research Article
Handwritten Notes Recognition Using Artificial Intelligence
J RishiKeshan1
R Jeyaseelan2
R KrishnRaj3
V Krishnamoorthy4
1234 Computer Science and Engineering, Bannari Amman Institute of Technology, Tamilnadu, India
Published Online: March-April 2023
Pages: 15-18
Cite this article
No DOIReferences
[1]. K. Simonyan, A. Zisserman Very Deep Convolutional Networks for Large-Scale Image Recognition arXivtechnical report, 2023
[2]. K. Gaurav and Bhatia P. K., “Analytical Review of Preprocessing Techniques for Offline Handwritten CharacterRecognition”, 2nd
International Conference on Emerging Trends in Engineering & Management, ICETEM, 2022.
[3]. Fabian Tschopp. Efficient Convolutional Neural Networks for Pixelwise Classification on HeterogeneousHardware Systems
[4]. Lisa Yan. Recognizing Handwritten Characters. CS 231N Final Research Paper, 2021.
[5]. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Vi´egas, O. Vinyals, P.
Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,”
2020
[6]. Balas, V. E., Roy, S. S., Sharma, D., & Samui, P. (2019). Handbook of Deep Learning Applications. Basingstoke,England: Springer.
[7]. Aggarwal, C. C. (2019). Neural Networks and Deep Learning: A Textbook. Basingstoke, England: Springer.
[8]. Ding, S., Zhao, H., Zhang, Y., Xu, X., & Nie, R. (2019). Extreme learning machine: algorithm, theory and applications.
Artificial Intelligence Review, 44(1), 103-115.
[2]. K. Gaurav and Bhatia P. K., “Analytical Review of Preprocessing Techniques for Offline Handwritten CharacterRecognition”, 2nd
International Conference on Emerging Trends in Engineering & Management, ICETEM, 2022.
[3]. Fabian Tschopp. Efficient Convolutional Neural Networks for Pixelwise Classification on HeterogeneousHardware Systems
[4]. Lisa Yan. Recognizing Handwritten Characters. CS 231N Final Research Paper, 2021.
[5]. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Vi´egas, O. Vinyals, P.
Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,”
2020
[6]. Balas, V. E., Roy, S. S., Sharma, D., & Samui, P. (2019). Handbook of Deep Learning Applications. Basingstoke,England: Springer.
[7]. Aggarwal, C. C. (2019). Neural Networks and Deep Learning: A Textbook. Basingstoke, England: Springer.
[8]. Ding, S., Zhao, H., Zhang, Y., Xu, X., & Nie, R. (2019). Extreme learning machine: algorithm, theory and applications.
Artificial Intelligence Review, 44(1), 103-115.
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