基于多分类及特征融合的静默活体检测算法

黄新宇,游帆,张沛,张昭,张柏礼,吕建华,徐立臻

Silent liveness detection algorithm based on multi classification and feature fusion network

Xin-yu HUANG,Fan YOU,Pei ZHANG,Zhao ZHANG,Bai-li ZHANG,Jian-hua LV,Li-zhen XU

表 5 不同方法在OULU-NPU数据集上的性能对比

Tab.5 Performance comparison of different methods on OULU-NPU dataset

方法 APCER/% BPCER/% ACER/% MixedFASNet[1] 9.7000 2.5000 6.1000 DeepPixBiS[31] 11.4000 0.6000 6.0000 MSR-Attention[18] 7.6000 2.2000 4.9000 BaseNet-Fusion 6.6667 2.5000 4.5833