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The recognition of legal amount present on a bank cheque is a big challenge because of the structural complexity of characters and variability of writing styles in automatic bank cheque processing. This paper proposes a technique of text word recognition based on template matching technique using Correlation coefficient. We have developed a database of 61 words, combination of which can represent...
This paper presents a Deep Bidirectional Long Short Term Memory (LSTM) based Recurrent Neural Network architecture for text recognition. This architecture uses Connectionist Temporal Classification (CTC) for training to learn the labels of an unsegmented sequence with unknown alignment. This work is motivated by the results of Deep Neural Networks for isolated numeral recognition and improved speech...
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