Application and Feasibility Assessment of Artificial Intelligence in Forensic Identification and Document Examination
e
29 set 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 29 set 2025
Ricevuto: 17 gen 2025
Accettato: 27 apr 2025
DOI: https://doi.org/10.2478/amns-2025-1127
Parole chiave
© 2025 Jing Ye and Leya Zhang, published by Sciendo.
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Figure 7.

Comparison results of Hough line changes
| Image | Entropy of information | Ultimate compression ratio |
|---|---|---|
| Image 1 | 6.9735 | 1.203 |
| Wavelet transform | 5.0382 | 1.703 |
| Fourier transform | 4.0284 | 2.198 |
| Hough line transform | 2.7653 | 2.974 |
| Image 2 | 7.0843 | 1.148 |
| Wavelet transform | 4.8863 | 1.718 |
| Fourier transform | 3.7826 | 2.286 |
| Hough line transform | 2.5973 | 2.864 |
| Image 3 | 7.1084 | 1.129 |
| Wavelet transform | 4.8691 | 1.711 |
| Fourier transform | 3.7742 | 2.689 |
| Hough line transform | 2.5038 | 2.903 |
