Abstract
An OCR(Optical Character Recognition) based on deep learning for recognition of characters and numbers on drawings for machine maintenance, is proposed. The proposed pre-processing uses mathematical morphology operation to reduce false detection and recognition due to the leading lines and small parts of the drawings. The LSTM model is used to train and infer drawings of parts book. The results of experiments show that the proposed OCR improves the performance by 6.95 % compared to the classical LSTM In addition, the processing speed is improved compared to the conventional approaches.
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