PCF: A Progressive and Corrective Feedback for Latent Fingerprint Enhancement

The installation and executable files will be made available once the paper is accepted 

Requirements

• Windows 10 or 11 operating system.

• Storage 14 GB

  • ksip_lfp_enh_installer 300 MB
  • MATLAB_Runtime_R2022a_Update_6_win64 (installer 4 GB and install space required 8 GB)

Installation

Install MATLAB Runtime version R2022a (9.12)

1. Download MATLAB Runtime from www.mathworks.com Or MATLAB_Runtime_R2022a_Update_6_win64.zip (Coming soon).

2. Extract files and install MATLAB Runtime using setup.exe.

Install KSIP Latent Fingerprint Enhancement

1. Download ksip_lfp_enh_installer.exe (Coming soon).

2. Install KSIP LFP ENHANCEMENT using ksip_lfp_enh_installer.exe. The installation directory will be C:\Program Files (x86)\KSIP LFP ENHANCEMENT

3. Setup environment path

   • Go to Environment Variables
   • Add C:\Program Files (x86)\KSIP LFP ENHANCEMENT in the Path variable under System variables.

   If KSIP LFP ENHANCEMENT installed in a different location, add that specific path to System variables instead of C:\Program Files (x86)\KSIP LFP ENHANCEMENT.

Usage

Preprocessing

Before performing fingerprint enhancement, the texture image needs to be extracted using Total Variation. Note use mu is 0.45. Ensure you have completed this step before proceeding with the enhancement process.

Enhancement

1. Open Terminal or Windows Powershell

2. Run ksip_pcf.exe <org_dir> <tv_dir> <seg_dir> <out_dir> and Enter.

    usage: ksip_pcf.exe <org_dir> <tv_dir> <seg_dir> <out_dir>
   
    arguments:
    
    <org_dir>     Original Fingerprint Image Directory
    <tv_dir>      Fingerprint Total Variation Directory
    <seg_dir>     Segment Directory
    <out_dir>     Output Directory
   

Example

Run NIST SD27 Enhancement

ksip_pcf.exe D:\NIST_SD27\Latent D:\NIST_SD27\LatentTV D:\NIST_SD27\GlobalDict  D:\NIST_SD27\Enhancement

Output Example

Original Fingerprint Image DIrectory: D:\NIST_SD27\Latent
Fingerprint TV Image DIrectory: D:\NIST_SD27\LatentTV
Fingerprint Segment DIrectory: D:\NIST_SD27\GlobalDict
Fingerprint Enhanced DIrectory: D:\NIST_SD27\Enhancement
0001/0002 Start enhancement: 001L2U.bmp
0001/0002 Enhancement Success
0001/0002 Save enhanced image to D:\NIST_SD27\Enhancement\001L2U.bmp
0001/0002 Execution time: 25.36 second

Acknowledgements

This work was supported in part by the Department of Electrical Engineering, Faculty of Engineering, Kasetsart University, and in part by the Siew-Sngiem Karnchanachari Research Leadership and Young Professorship Awards.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Citing PCF

If you are using PCF or benchmarks in your research, kindly reference the following.

@ARTICLE{9469797,
    author={Horapong, Kittipol and Srisutheenon, Kittinuth and Areekul, Vutipong},
    journal={IEEE Access}, 
    title={Progressive and Corrective Feedback for Latent Fingerprint Enhancement Using Boosted Spectral Filtering and Spectral Autoencoder}, 
    year={2021},
    volume={9},
    number={},
    pages={96288-96308},
    doi={10.1109/ACCESS.2021.3093879}
}

Or

K. Horapong, K. Srisutheenon and V. Areekul, "Progressive and Corrective Feedback for Latent Fingerprint Enhancement Using Boosted Spectral Filtering and Spectral Autoencoder," in IEEE Access, vol. 9, pp. 96288-96308, 2021, doi: 10.1109/ACCESS.2021.3093879.

Contact

If you have any questions or need assistance, reach us at kttpl@hotmail.com / kittipol.h@ku.th / supakit.kr@gmail.com.