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東京理科大学 / 工学研究科 経営工学専攻 博士後期課程
Hybrid handwriting authentication model for online testing using a Siamese neural network and MLP
We propose a hybrid authentication model for online testing that combines a handwriting model using a Siamese neural network and a dynamic information model using a multilayer perceptron. The resulting hybrid authentication model obtained better accuracy than either the handwriting model alone or the dynamic information model alone.