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Converting handwritten (digits) information to digital format

Project 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

Diagram

Sample Programming

  • pip install Upender-recognizer

  • from jarvis.call import recognizer

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

Capture

Project details


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Source Distribution

Upender_recognizer-0.0.14.tar.gz (4.1 kB view hashes)

Uploaded Source

Built Distribution

Upender_recognizer-0.0.14-py3-none-any.whl (4.4 kB view hashes)

Uploaded Python 3

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