Deep Learning Method for Handwriting Recognition

The advancement of technology nowadays resulted into documents, such as forms and petitions, being filled out in computer digital environment. Yet some cases, documents are still preserved traditional style, on print. Due to its distinct proportions, however, storage, sharing filing has become a complication. relocation these written environment is therefore great significance. In this view, study aims explore methodologies digitizing handwritten documents. study, the converted image format were pre-processed using processing methods. These operations include dividing lines document format, words which then divided characters, finally, classification operation characters. As phase, one deep learning methods Convolution Neural Network method used recognition. model was trained EMNIST dataset, character, dataset created from at hand. had success rate 87.81%. Characters classified finishers sequentially combined transferred afterwards.