A novel Deep CNN based LDnet model with the combination of 2D and 3D CNN for Face Liveness Detection

Nanthini, N.; Puviarasan, N.; Aruna, P.

doi:10.1109/icses55317.2022.9914362

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Cited by 4 publications

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“…combine deep CNN and long short-term memory (LSTM) with diffusion methods. Nanthini [5] propose a novel deep CNN based Liveness Detection network (LDnet) using the combination of both 2D CNN and 3D CNN. Garg et al [6] .…”

Section: Introductionmentioning

confidence: 99%

Lightweight face liveness detection method based on 32×24 thermal imaging images and ShuffleNet

Zhang,

Xie,

et al. 2023

Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023)

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This paper aims to solve the problem of deploying face liveness detection methods on mobile terminals with low computing resources. A lightweight face liveness detection method based on 32 × 24 thermal imaging images and ShuffleNet is proposed. This method can be deployed on mobile devices with low computing resources on the premise of ensuring detection accuracy. In addition, this paper also proposes an optimization strategy, which can completely eliminate the situation that the fake face is misidentified as a real face, and at the same time control the probability of the real face misidentified as a fake face at a very low level. The experimental results show that the proposed method has high practical value.

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Section: Introductionmentioning

confidence: 99%