Novel approaches for face recognition: Template-matching using Dynamic Time Warping and LSTM neural network supervised classification

This paper presents novel methodologies for face recognition: template-matching using Dynamic Time Warping (DTW) and Long-Short-Term-Memory (LSTM) neural network supervised classification. The advantage of the DTW algorithm is that it requires only one prototype (sample) for each class, that is, a s...

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Bibliographische Detailangaben

Hauptverfasser:	Levada, A.L.M., Correa, D.C., Salvadeo, D., Saito, J.H., Mascarenhas, N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Classification algorithms Dynamic Time Warping Face Face recognition Learning Algorithm LSTM Neural Network Noise PCA Training
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