Fixed-sized representation learning from offline handwritten signatures of different sizes

Methods for learning feature representations for offline handwritten signature verification have been successfully proposed in recent literature, using deep convolutional neural networks to learn representations from signature pixels. Such methods reported large performance improvements compared to...

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Veröffentlicht in:	International journal on document analysis and recognition 2018-09, Vol.21 (3), p.219-232
Hauptverfasser:	Hafemann, Luiz G., Oliveira, Luiz S., Sabourin, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science Feature extraction Handwriting Handwritten signature verification Image Processing and Computer Vision Learning Neural networks Pattern Recognition Performance enhancement Protocol (computers) Representations Signatures Special Issue Paper Tuning
Online-Zugang:	Volltext
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