Metadata-Version: 2.1
Name: id_card_extractor
Version: 1.1.0
Summary: Crop id card from an image using OpenCV
Home-page: https://github.com/aqua-regia/id-card-detector
Author: Syed Hassan Ashraf
Author-email: hassanashraf8888@gmail.com
License: MIT
Description: # Detecting the National Identification Cards
        
        
        You can use this project to extract information DOB (name, surname, date of birth, etc.) on the identity card. To do this, I'm broke down the problem into sub-problems as below:
        
        - [this project] Identify Regions of Interest (ROI) containing the required information with deep learning
        - [this project] Crop the regions identified above
        - OCR on the identified region of interest
        
        This project can do object detection + object classification + multiple object detection all at the same time.
        
        **Use case diagram**
        
        ![UseCase](./static/usecase.png "UseCase")
        
        Sample id cards
        
        | Sample 1  | Sample 2 |Sample 3  |
        |---|---|---|
        | ![Old](./static/old_card.png "Old")  | ![new](./static/new_card.png "new")  |![licence](./static/licence.png "licence")  |
        
        
        ## How to Run
        
        tested on python 3x
        
        **Requirements**
        
        - tensorflow 
        - numpy
        - opencv
        
        to install requirements
        
        ```bash
         pip3 install -r requirements.txt
         ```
         
        Runs the application with the default webcam.
        
        ```python
        python3 id_card_detection_camera.py
        ```
        
        
        Runs the application with the image file. Default image file "test_images/image1.jpg"
        
        ```python
        python3 id_card_detection_image.py
        ```
        
        ## Result
        
        
        ![result](./static/result.png "result")  
        
        
        
        ###For Developers
        
        * Version bump
            ```bumpversion --current-version 1.2.0 minor setup.py```
            
        * Publishing to PyPi
            
            1.`python setup.py sdist`
            
            2.`twine upload dist/* --verbose`
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
