A Comparison between multi-layer perceptrons and convolutional neural networks for text image super-resolution

VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings

Volumn 1, Issue , 2015, Pages 84-91

  Peyrard, Clément ^a,b   Mamalet, Franck ^a   Garcia, Christophe ^b  

^a ORANGE LABS   (France)

^b CNRS   (France)

Author keywords

Convolutional neural network; Multi layer perceptron; OCR; Super resolution; Text image

Indexed keywords

CONVOLUTION; NETWORK LAYERS; OPTICAL CHARACTER RECOGNITION; OPTICAL RESOLVING POWER;

CONVOLUTIONAL NEURAL NETWORK; HIGH FREQUENCY HF; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRONS; MULTI-LAYER PERCEPTRONS (MLPS); NONLINEAR MAPPINGS; SUPER RESOLUTION; TEXT IMAGES;

MULTILAYER NEURAL NETWORKS;

EID: 84939539666     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0005297200840091     Document Type: Conference Paper

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