… enough to provide print artifact detectors for commercial print quality control application. … to
employ machine learning techniques to learn a specific model for each print artifact based on …

… Inspired by image quality assessment, characterization of printing artifacts and by … of
spoofing detection from texture analysis point of view. Indeed, face prints usually contain printing …

… These results confirm that most of the artifacts used by the detectors to distinguish between
GAN and real images, such as warping, blur, noise, correlation, and image statistics, are …

… an adversary employs artifacts such as 2D prints of the eye, … ) architecture for presentation
attack detection, that is observed to … augmentation as well as to learn features that are location …

… Popular face biometric artifacts include a printed photo, the electronic display of a facial
photo, replaying video using an electronic display, and 3D face masks. These have …

… bags-of-visual-words and noise artifacts due to the recapturing … [52] used LBP operator for
capturing printing artifacts and micro-… Both works validated the methods with the Print Attack …

… artifacts have been handled using simple filter techniques. The authors hypothesized that
different artifact detection algorithms, including machine learning, … screened for artifacts by at …

… To test the effectiveness of the control system, the first three layers of the test artifact are
printed normally without anomalies. Then the process parameters of the fourth layer are modified …

… mainly include printing artifacts, electronic screens and ultra-realistic face masks or models.
In this paper, we propose a component-based face coding approach for liveness detection. …

… artifacts such as printed eyes, plastic eyes, or cosmetic contact lenses to circumvent the
system. In this work, we propose an effective and robust iris PA detector … across PA artifacts, sen…