kingyiusuen/handwritten-multi-digit-number-recognition
Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.
This project helps you automatically read and convert handwritten multi-digit numbers from images into digital text. You input an image containing handwritten numbers, and it outputs the recognized number string. This is ideal for anyone who needs to quickly digitize numerical data from handwritten forms, documents, or notes.
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Use this if you need to accurately extract multi-digit numbers from handwritten images, such as expense reports, lab results, or inventory counts.
Not ideal if you need to recognize single digits, full sentences, or a wider variety of handwritten symbols beyond numbers.
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30
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6
Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 07, 2022
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