Deep Guard: An enhanced hybrid ensemble classifier for face presentation attack detection integrating Gabor and binarized statistical image features descriptors with deep learning

Published: 01 Jan 2025, Last Modified: 06 Nov 2025Comput. Electr. Eng. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Deep Guard a novel hybrid ensemble classifier for face PA detection.•Combines Gabor and BSIF with EfficientNet for optimized performance.•Strengthens feature extraction by integrating ConvMixer and CBAM blocks.•Resilient to 2D/3D attacks and robust against illumination and noise distortions.•Deep Guard outperforms several SOTA methods on publicly available datasets.
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