Converting handwritten (digits) information to digital format
Project description
Real-time-handwritten-digits-recognition-using-Convolutional-Neural-Network
Description
Reading handwritten information is still a difficult task for many of us, because each one of us is having a different interpretation style. As the world is moving towards digitization, converting the hand written information to a readable digital format reduces the difficulty. This approach will be beneficial for the readers as it gives a better understanding of the information. This packages deals with converting the real time handwritten digits to digital format with human level accuracy.
Sample Working
Sample Programming
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pip install Upender-recognizer
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from jarvis.call import recognizer
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Weights retrieved
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File (json) retrieved
Give image_path : /content/CamScanner 01-28-2022 10.44.26_1.jpg
Note: Image path should be modified in case of jupyter notebook, spyder etc.
Example: image_path= "/content/CamScanner 01-28-2022 10.44.26_1.jpg"
updated_path= "//content//CamScanner 01-28-2022 10.44.26_1.jpg"
Sample Output
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- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.2
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