Phase-PCANet for Fingerprint Image Liveness Detection
Jing Li, Xinqi Wang · 2026
Read Phase-PCANet for Fingerprint Image Liveness Detection by Jing Li, Xinqi Wang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13608785.txt.
Description
Jing Li and Xinqi Wang present Phase-PCANet for spotting fake fingerprints in a 2026 paper. Fingerprint systems can be fooled by fakes, so liveness detection matters. Phase information in an image carries both fine texture and broad layout, two clues that fakes often get wrong.
Their method extracts local phase with a short-time Fourier method and global phase from the full image. Each path feeds an improved network with dual coding that keeps channel structure and cross-channel links. Features from both paths join for the final call. Tests on three standard LivDet data sets support the design for security screening.
Catalog record
| CREATOR | Jing Li, Xinqi Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |