Authors: Alessandro Bissacco, Mark Cummins, Yuval Netzer, Hartmut Neven

Description: Classical over-segmentation and beam search architecture is used. A deep neural network serves as the character classifier, whereas character-ngrams are used for language modelling. Top hypothesis from the beam search are re-ranked using a word-ngram model.