MANUSCRIPT TEXT RECOGNITION ALGORITHMS RESULTS ANALYSIS

Аннотация

<strong>Abstract:</strong> In the case of handwritten text recognition, the image processing, line, word, and letter segmentation algorithms, their processing structures are given, CNN neural network operation mode description is described. Modern hardware has been described as a more improved view of a high-performance product that achieves high results through neural networks. The results are based on the images of the data set available in the neural networks and the data set formed for the Uzbek language. Through this neural network structure, 93% kb recognition efficiency was achieved.

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DOI

10.5281/zenodo.7427443

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