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.

1. Clone the repository

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

2. Prepare an image file containing fingerprint

3. 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