Specialized Solutions for Enhancing Tilt Recognition with RolmOCR
The following measures are recommended for documents tilted at 15°-45°:
- pretreatment stage::
- Automatic angle detection using OpenCV (sample code provided)
- Adding to rotated samples
--rotate-train-dataparametric enhancement training
- Model Calling Tips::
- Add to the API request
"enhance_rotation": trueparameters - Adopting a sub-regional identification strategy for extremely skewed documents
- Add to the API request
- aftertreatment program::
- Combining Tesseract for results validation
- Development of an automated calibration microservices pipeline
The method was tested to improve the accuracy of skewed document recognition up to 92%
This answer comes from the articleRolmOCR: Document OCR Model for Recognizing Handwritten and Slanted CharactersThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of recognition accuracy for skewed documents?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil