An Algorithm for Classifying Handwritten Signatures Using Convolutional Networks

Germán Culqui-Culqui,Sandra Sanchez-Gordon,Myriam Hernández-Álvarez

IEEE Latin America Transactions（2022）

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摘要

In this study, a model based on convolutional neural networks is proposed to quickly and efficiently classify and identify a person's signature with over 90% accuracy. For this purpose, two signature datasets were used. The first, called CEDAR, is publicly available. The second set, called GC-DB, was collected by the researchers using uncontrolled environments (different signing positions). This d...

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关键词

Classification algorithms,Convolutional neural networks,IEEE transactions,Transforms,Three-dimensional displays,Support vector machines,Stacking

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