Dec 17, 2023 · The key of this algorithm is to obtain histogram features of bimodal face images through complex principal component analysis network, which ...
Considering the necessity of sensitive information protection in face image, a cancelable template generation model for multimodal face images is proposed ...
Dec 17, 2023 · Next, the sampled matrix is modulated by using trinion gyrator transform and logistic-based random phase mask for increasing discriminability.
Firstly, the visual meaningful face images are transformed into phase-only functions through phase retrieval in gyrator domain. Then random projection and ...
Cancelable face recognition using phase retrieval and complex principal component analysis network. 2024, Machine Vision and Applications. Full Quaternion ...
This paper provides a software framework for PCA-based face recognition aimed at assisting software developers to customize their applications efficiently.
Missing: Cancelable | Show results with:Cancelable
Jan 7, 2022 · We propose a cancelable biometric authentication approach. The framework consists of a lightweight Convolutional Neural Network (CNN) with a few-shot ...
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Cancelable face recognition using phase retrieval and complex principal component analysis network. Zhuhong Shao, Leding Li, Zuowei Zhang, Bicao Li, Xilin ...
We introduce a novel deep neural network framework that significantly enhances facial recognition accuracy through multi-scale feature fusion and spatial ...
The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image. Proposed methodology is.
Missing: Cancelable | Show results with:Cancelable