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About this Project

This project is being developed as a practical part of bachelor's thesis at Brno Universtiy of Technology - Faculty of Information Studies. It is as of now a work in progress, no results guaranteed.

The topic of this thesis is Generating a 3D Fingerprint Model. This application can be used to apply series of image processing filters to a fingerprint image to make it more suitable for conversion to 3D stl model and printing. It also includes the functionality to use generated image as a height map for generating an stl model. This model can either be planar or curved.

Prerequisites

For now this is only viable for ubuntu gnu/linux machines Before cloning repository, you need these to succesfully use the application.

python version 3.10 is a requirement might work on earlier python 3 versions
```
    apt install python3.10
```

python graphical modules

    pip install numpy matplotlib pillow

Installation

Installation is relatively fast and easy.

Clone the repository

    git clone ssh://git@strade.fit.vutbr.cz:3022/xlanro00/BP_DP-xlanro00.git

Prepare an image file containing fingerprint
Run the application

Usage

There are two ways to enter filters

manually from command line, list filter names and parameters

    python src/main.py res/test_fp.png res/test_fp_cpy.png 100 denoise_tv_chambolle iterations=1 weight=0.1 median ksize=3

manually from preset saved in a json config file, that can be used to create new presets

    python src/main.py res/test_fp.png res/test_fp_cpy.png 100 --config config/config.json weak

Configuration

There is an option to input the filter series as a preset to json configuration file.

{
    "weak": [
        {
            "name": "denoise_tv_chambolle",
            "sigmaColor": 0.1,
            "weight": 0.01,
            "sigmaSpace": 3,
            "channelAxis": 0,
            "iterations": 1
        },
        {
            "name": "median",
            "ksize": 3
        },
    ],
    "strong": [
        ...
    ]
    ...
}

All the filters used and their parameters will be described in documentation.

Comparison

Image before processing the fingerprint and after applying a presets.

Before	After

Generating STL file

It is possible to generate 3D printable stl planar model using --stl switch, which requires aditional parameter containing stl filename. Using -p switch makes the model planar. This is not the main goal of the application. Additional parameters with model thickness and papilar lines height will be optional.

Example stl generation

    python src/main.py res/test_fp.png res/test_fp_mod.png 508 --config config/config.json weak --stl res/test_fp.stl -p

Generating STL finger model

When --stl switch is given without -p, the output model will either be a generated curved finger model, or later (if implemented) a fingerprint mapped to finger model.

Mapping to existing finger model

This section will be added later.

Roadmap

Load and store image
Apply basic image processing filters
- Scale the image using given dpi
Create filter library with more filters
- Add more suitable filters to the library
Use presets from config files
- Add the option to save current filter preset to config file
Add the option to modify filter parameters
Convert the processed image to stl lithophane
Add the option to curve the lithophane into the shape of a finger
Add the option to map the lithophane on a given finger model
Export final model ready for 3D print

Author

Rostislav Lán - xlanro00@stud.fit.vutbr.cz

Supervisor

Ing. Petr Malaník

Links

Project Link: https://strade.fit.vutbr.cz/git/xlanro00/BP_DP-xlanro00

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