Accurate Real-Time Live Face Detection Using Snapshot Spectral Imaging Method.

ABSTRACT: Traditional facial recognition is realized by facial recognition algorithms based on 2D or 3D digital images and has been well developed and has found wide applications in areas related to identification verification. In this work, we propose a novel live face detection (LFD) method by utilizing snapshot spectral imaging technology, which takes advantage of the distinctive reflected spectra from human faces. By employing a computational spectral reconstruction algorithm based on Tikhonov regularization, a rapid and precise spectral reconstruction with a fidelity of over 99% for the color checkers and various types of "face" samples has been achieved. The flat face areas were extracted exactly from the "face" images with Dlib face detection and Euclidean distance selection algorithms. A lar

SUBMITTER: Wang Z 

PROVIDER: S-EPMC11820336 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature