Python Tesseract can t recognize this font

Optical Character Recognition (OCR) is a technology that extracts text from images or scanned documents. Tesseract is a popular open-source OCR engine developed by Google. While Tesseract is quite powerful, it may struggle with recognizing custom or unusual fonts. In this tutorial, we will explore how to train Tesseract to recognize a custom font and improve its accuracy in recognizing text written in that font.
Before we begin, make sure you have the following prerequisites:
Python installed on your system.
Tesseract OCR installed. You can install Tesseract using pip:
Tesseract training tools installed. You can download them from the Tesseract GitHub repository.
A set of training data for your custom font, including images of characters and their corresponding labels.
Before you can train Tesseract to recognize a custom font, you need to create training data. This data includes images of individual characters in your custom font and corresponding text labels. You should have at least a few hundred to a few thousand training samples for each character you want to recognize.
Organize your training data into a structure like this:

Optical Character Recognition (OCR) is a powerful technology that allows computers to convert images containing text into machine-readable text. Python's Tesseract is one of the most popular OCR engines, but it may not always work well with unusual or non-standard fonts. In this tutorial, we will explore how to handle cases where Tesseract can't recognize a particular font. We'll provide some strategies and code examples to improve OCR results.
Before you get started, make sure you have the following installed:
You can install these dependencies using pip:
Make sure you have Tesseract installed on your system. You can download it from the official Tesseract repository and follow installation instructions.
When Tesseract can't recognize a font, it's often because the font is unusual, non-standard, or complex. Tesseract relies on a database of fonts to perform OCR, and if it doesn't have information about the specific font used in your image, recognition may fail or produce inaccurate results.
To improve recognition, consider the following strategies:
Let's walk through a code example that demonstrates these strategies:
In this code example, we load the image and demonstrate various strategies to improve OCR results. You can customize these strategies based on your specific font and image characteristics.
Remember to adjust the path