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|Type:||Artigo de evento|
|Title:||Neural Approaches For Human Signature Verification|
|Author:||Lee Luan Ling|
|Abstract:||This paper describes three neural network (NN) based approaches for on-line human signature verification: Bayes multilayer perceptrons (BMP), time-delay neural networks (TDNN), input-oriented neural networks (IONN). The backpropagation algorithm was used for the network training. A signature is input as a sequence of instantaneous absolute velocity (|v(t)|) extracted from a pair of spatial coordinate time functions (x(t), y(t)). The BMP provides the lowest misclassification error rate among three types of networks.|
|Editor:||IEEE, Piscataway, NJ, United States|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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