英文标题
Face Liveness Detection using Gray Level Co-Occurrence Matrix and Wavelets Analysis in Identity Authentication
英文摘要
With the wide range application of authentication technology,all kinds of spoofing attacks occur when a per-son tries to masquerade system by exhibiting fake faces of an authorized client.Hence,we propose to approach the problem of face liveness detection based on gray level co-occurrence matrix (GLCM)and wavelet analysis.Our method focus on an-alyzing the facial image texture difference between a live person and a face print.We extract the four features-energy,en-tropy,moment of inertia and the correlation on the basis of GLCM.In addition,it obtain the high frequency subbands coeffi-cients using secondary decomposition of wavelet transform for classification recognition.Primary experiments on the publicly available NUAA photo-imposter database show that the algorithm reduce the computational complexity and improve the de-tection accuracy.
翻译关键词
gray level co-occurrence matrix
face
authentication technology
liveness detection
wavelet analysis
获取号
WF:perioarticalxhcl201407011
