Pytesser | Python wrapper for the tesseract OCR engine | Computer Vision library
kandi X-RAY | Pytesser Summary
kandi X-RAY | Pytesser Summary
Python wrapper for the tesseract OCR engine. The module is based on OpenCV.
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Top functions reviewed by kandi - BETA
- Reads an image file and returns it
- Process a Tesseract request
- Checks if Tesseract is in the PATH environment
- Convert an image to a string
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QUESTION
I'm fairly new on OpenCv and tesseract. I'm recently building a project on using computer vision to detect door labels. Hopefully it would be beneficial for visually impaired group.
The idea of the program is to preprocess the input image by converting it into binary color, then use canny edge to detect the outlines of door label, then dilate the canny edge result. After these, feed image to tesseract while trying to show the text detected with boxes.
Expected results are green rectangles on text. While printing out the text itself.
The issue is the missing rectangles and failure in text detection.
I have tried going through these:
- Recognize Text in images using Canny Edge detection in Opencv
- OpenCv pytesseract for OCR
- Image preprocessing with OpenCV before doing character recognition (tesseract)
The questions and solutions are either too simple or not as relevant. Some are not in python as well.
Attached below is my attempt on the code:
...ANSWER
Answered 2021-Mar-11 at 19:16I think what you are looking for here is image rectificaiton (warping image to make it look like taken from another point of view) and there seem to be tools for this in python. However, the problem gets more complicated since in your case you need to detect how you want to rectify it. I am not sure how you should go about that.
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Install Pytesser
You can use Pytesser like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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