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sivakumar-mahalingam authored Oct 17, 2024
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Expand Up @@ -21,14 +21,14 @@ This repository extracts the Machine Readable Zone (MRZ) from document images. T
- Outputs the extracted MRZ region as text/json for further processing or analysis


## Built With
## 🛠️Built With

![OpenCV](https://img.shields.io/badge/OpenCV-27338e?style=for-the-badge&logo=OpenCV&logoColor=white)
![Tesseract OCR](https://img.shields.io/badge/Tesseract%20OCR-0F9D58?style=for-the-badge&logo=google&logoColor=white)
![NumPy](https://img.shields.io/badge/numpy-316192?style=for-the-badge&logo=numpy&logoColor=white)
![ONNX](https://img.shields.io/badge/ONNX-7B7B7B?style=for-the-badge&logo=onnx&logoColor=white)

## Installation
## ⚙️Installation


1. Install [Tesseract OCR](https://tesseract-ocr.github.io/tessdoc/Installation.html) engine. And set `PATH` variable with the executable.
Expand Down Expand Up @@ -90,7 +90,7 @@ P<GBRPUDARSAN<<HENERT<<<<<<<<<<<<<<<<<<<<<<<
7077979792GBR9505209M1704224<<<<<<<<<<<<<<00
```
## MRZ Wiki
## 📃MRZ Wiki
<details>
<summary><b>MRZ Types & Format</b></summary>
Expand All @@ -111,19 +111,19 @@ Now, based on the example of a national passport, let us take a closer look at t
![MRZ GIF](https://raw.githubusercontent.com/sivakumar-mahalingam/fastmrz/main/docs/mrz.gif)
## ToDo
## 🗹ToDo
- [ ] Test for **mrva** and **mrvb** documents
- [x] Add `wiki` page
- [ ] Send numpy array as input
- [ ] Bulk process
- [ ] Train Tesseract model with additional data
## License
## ⚖️License
Distributed under the AGPL-3.0 License. See `LICENSE` for more information.
## Show your support
## Show your support
Give a ⭐️ if <a href="https://github.com/sivakumar-mahalingam/fastmrz/">this</a> project helped you!

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