End-to-end text recognition using local ternary patterns, MSER and deep convolutional nets

Proceedings - 11th IAPR International Workshop on Document Analysis Systems, DAS 2014

Volumn , Issue , 2014, Pages 186-190

  Opitz, Michael ^a   Diem, Markus ^a   Fiel, Stefan ^a   Kleber, Florian ^a   Sablatnig, Robert ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Adaboost; Convolutional neural networks; Dropout; End to end scene text recognition; Lbp; Ltp; Neural networks; Scene text detection; Scene text recognition; Text detection; Text recognition

Indexed keywords

ADAPTIVE BOOSTING; CONVOLUTION; NEURAL NETWORKS;

CONVOLUTIONAL NEURAL NETWORK; DROPOUT; LBP; LTP; SCENE TEXT; TEXT DETECTION; TEXT RECOGNITION;

CHARACTER RECOGNITION;

EID: 84903749488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DAS.2014.29     Document Type: Conference Paper

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