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Skew Corrector using Machine Learning

Skew Corrector using Machine Learning

by Internal Labs

1

Solution

Downloads

99

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Summary

Summary

The objective of this ML project is to correct the skewness in the image files using UiPath’s AI Fabric

Overview

Overview

The purpose of this project is to educate the end users on how to use UiPath’s MLSkill Activity with AI Fabric to correct the skewness in images. Those skew corrected images could be further used with Receipt Model, Abby or any 3rd party OCR for better extraction of data.

The file formats supported are PNG, JPEG or any scanned file in these 2 formats having textual data.

The project does not correct orientation.

Features

Features

During data extraction from a skewed document using OCR there is a high chance of losing some data or even extraction might fail. Recommended way is to correct the skewness and those skew corrected images could be further used with Receipt Model, Abby or any 3rd party OCR for better extraction of data. Limitations Does not correct orientation

Additional Information

Additional Information

Dependencies

The input scanned files must have resolution equal and above 300 DPI (Dots Per Inch) Internet connectivity of Bot to AI Fabric UiPath Studio must have ML Skills Activity present (version 19.4 Onwards) Download the package from uipath.mlservices.activities

Code Language

Visual Basic

Publisher

Internal Labs

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License & Privacy

BSD

Privacy Terms

Technical

Version

1.0

Updated

Apr 15, 2020

Works with

Studio: 19.4 - 22.10

Certification

Silver Certified

Application

Support

UiPath Community Support

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