Komparasi Metode Backpropagation Neural Network dan Convolutional Neural Network Pada Pengenalan Pola Tulisan Tangan

Historical manuscripts are one of documents that important to be preserved because they contain a lot information, example them is script as the historical . document mostly still use handwriting in so many reserch. Currently, there research regarding preservation characters. One way can used digitization process. Digitizing’s process tanable by recognizing existing information using technology. The technology machine learning. Handwriting complex case variations these characters and output author where will produce different writings. relevant fields for text Optical Chacarter Recognition (OCR) recognition. There several methods learning process, including Artificial Neural Network (ANN) Convolutional (CNN). Both accept image input processed recognized, therefore this method highly recommended processing handwriting.