Mohammad N. AlShehri

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In this work, we evaluate the use computational models of visual attention to predict graphical passwords. We compare the performance of three models: the Itti-Koch-Niebur model, Graph-Based Visual Saliency (GBVS), and the Image Signature. The visual attention maps generated by the models are compared to ground truth user password location selections.(More)
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