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OCR used for the visual inspection of documents has found wide application in both industry and research, though it is more commonly found in connection with printed characters than for handwritten ones, mainly owing to the variability in handwritten characters’ shapes and styles. Hence the need for automatic recognition performed by vision-based tailor-made algorithms and adjustment. Deep Neural Networks as a learning mechanism to perform recognition have proved to be particularly powerful tools, due to their high accuracy in both spotting text region and deciphering the characters.