Abstract
Due to digitalization in everyday life, the need for automatically recognizing handwritten digits is increasing. Handwritten digit recognition is essential for countless applications in various industries. Bengali ranks the fifth largest dialect in the world, with 265 million speakers (native and non-native combined), occupying 4% of the world population. Due to the complexity of Bengali writing in terms of variety in shape, size, and writing style, researchers did not get better accuracy using supervised machine learning algorithms to date. Moreover, fewer studies have been done on Bangla handwritten digit recognition (BHwDR). In this paper, a novel convolutional neural network (CNN)-based pre-trained handwritten digit recognition model has been proposed, which includes ResNet-50, Inceptionv3, and EfficientNetB0 on the NumtaDB dataset of 17 thousand instances with ten classes. The result outperformed the performance of other models to date with 97% accuracy in the 10-digit classes. Furthermore, we have evaluated the result of our model with other research studies while suggesting future studies.
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Islam M significantly contributed to the conceptual parts of the paper’s contribution to the knowledge. Then, Islam M. and Shuvo SA devised the methodology for the paper and conducted the experiment. Shaikh MM and Sourav MSU contributed to the section on literature review. Nipun MS and Nayeem J have examined the experiment's outcomes and contributed to the section’s design and writing. Abstract, introduction, and conclusion were all written by Haque Z. Sulaiman RB oversaw the entire project and contributed to every aspect of this study article. Shuvo SA has contributed to the administration of group collaboration on a global scale. Sourav MSU assisted in finalizing the manuscript. Ameer K contributed to the project's finances by covering conference registration fees and other costs. All authors examined the findings and approved the final manuscript version.
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Islam, M. et al. (2023). Efficient Approach to Using CNN-Based Pre-trained Models in Bangla Handwritten Digit Recognition. In: Smys, S., Tavares, J.M.R.S., Shi, F. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1439. Springer, Singapore. https://doi.org/10.1007/978-981-19-9819-5_50
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DOI: https://doi.org/10.1007/978-981-19-9819-5_50
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