Jan 22, 2016 · In this paper, we use convolutional neural networks (CNNs) for fingerprint liveness detection. Our system is evaluated on the data sets used in ...
In this study, we use Convolutional Neural Networks (CNN) for fingerprint liveness detection. Our system is evaluated on the datasets used in The Liveness ...
Here a software based technology; Convolutional Neural Network is implemented. Along with this a fingerprint image enhancement technique is also used in order ...
Abstract: This paper proposes an end-to-end CNN(Convolutional Neural Networks) model that uses gram modules with parameters that are approximately 1.2MB in ...
In this chapter, to eliminate the limitation of input images size, a novel CNN model framework with SPP-net is proposed to detect the fingerprint liveness. In ...
Missing: Neural Networks.
It is shown that pretrained CNNs can yield the state-of-the-art results with no need for architecture or hyperparameter selection, and data set augmentation ...
Jun 1, 2016 · In this paper, we use convolutional neural networks (CNNs) for fingerprint liveness detection. Our system is evaluated on the data sets used in ...
A software based technology; Convolutional Neural Network is implemented, along with this a fingerprint image enhancement technique is also used in order to ...
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This paper proposes a new method to detect fake fingerprints using CNN (Convolutional Neural Ntworks) based on the patches of ... [Show full abstract] ...
Aug 7, 2023 · Slim-ResCNN: A deep residual convolutional neural network for fingerprint liveness detection. IEEE Access. 2019;7:91476–91487. doi: 10.1109 ...