公开(公告)号：US20240169042A1

公开(公告)日：2024-05-23

申请号：US18057259

申请日：2022-11-21

申请人： City University of Hong Kong

发明人： Chenqi KONG ,  Kexin ZHENG ,  Haoliang LI ,  Shiqi WANG

IPC分类号： G06F21/32 ,  G06F18/10 ,  G06F18/2131

CPC分类号： G06F21/32 ,  G06F18/10 ,  G06F18/2131 ,  G06F2221/2127

摘要： Two-dimensional face presentation attacks are one of most notorious and pervasive face spoofing types, causing security issues to facial authentication systems. To tackle these issues, a cost-effective face anti-spoofing (FAS) system based on acoustic modality, named as Echo-FAS, is devised, which employs a crafted acoustic signal to probe the presented face. First, a large-scale, high-diversity, acoustic-based FAS database, named as Echo-Spoof, is built. Based upon Echo-Spoof, we design a two-branch framework combining global and local frequency features of the presented face to distinguish live vs. spoofing faces. Echo-FAS has the following merits: (1) it only needs one speaker and one microphone; (2) it can capture three-dimensional geometrical information of the presented face and achieve a remarkable FAS performance; and (3) it can be handily allied with RGB-based FAS models to mitigate the overfitting problem in the RGB modality and make the FAS model more accurate and robust.

公开(公告)号：US20240220570A1

公开(公告)日：2024-07-04

申请号：US18535013

申请日：2023-12-11

申请人： AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

发明人： Jung Won LEE ,  Min Seo CHOI ,  Dong Yeon YOO

IPC分类号： G06F17/14 ,  G06F18/2131

CPC分类号： G06F17/142 ,  G06F18/2131 ,  G06F2218/08 ,  G06F2218/12

摘要： A fault signal detection method includes acquiring decomposition signals according to a frequency band, by decomposing an original signal in the time domain into a certain number of frequency band signals, combining the certain number of decomposition signals and calculating a classification result value for classifying the original signal into a normal signal or a fault signal using a classification model using at least one decomposition signal included in a combination method as input and determining a combination method for detecting a fault signal based on classification result values of the classification model.