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- W4320801842 abstract "Handwritten Recently, one of the most difficult problems in image processing and pattern recognition has been character recognition. Digitally repurposing a picture of a paper document known as a handwritten signature As an input, an optical picture of a character is sent into OCR, which generates an output character based on that character. Convolutional Neural Network (CNN), a prominent deep neural network architecture, is used to recognize written characters in our suggested system. When ahigh-definition picture of a handwritten document is sent into the system, the system separates out the individual characters and recognizes them. The desired result is an image format for the input picture that has been provided." @default.
- W4320801842 created "2023-02-15" @default.
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- W4320801842 date "2022-11-09" @default.
- W4320801842 modified "2023-09-28" @default.
- W4320801842 title "Translation of Manual Script to Automated Script" @default.
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- W4320801842 doi "https://doi.org/10.1109/iccst55948.2022.10040372" @default.
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