Character Recognition using Backpropagation Neural Network for Printed Documents
Digital documents from the scanner device cannot be edited. To be able to edit digital documents, Optical Character Recognition (OCR) technology is needed. This research was conducted with the aim of implementing backpropagation artificial neural networks in printed documents and to find out how the accuracy of the implementation of backpropagation artificial neural networks in printed documents. This research uses multilayer networks with three layers. The input layer consists of 225 nodes with 15 × 15 pixels digital image as input, hidden layer consists of 110 nodes, and the output layer consists of 54 nodes representing A-Z, a-z, point punctuation (.), and comma punctuation (,). The learning rate used in this research is 0,29. The average accuracy level obtained from the implementation of backpropagation artificial neural networks in this research was 94 % for Ms Arial Unicode font type, 96,6 % for Tahoma font type, and 94 % for Times New Roman font type.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under aCreative Commons Attribution-ShareAlike International License (CC-BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Copyright without Restrictions
The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
The submitted papers are assumed to contain no proprietary material unprotected by patent or patent application; responsibility for technical content and for protection of proprietary material rests solely with the author(s) and their organizations and is not the responsibility of the ULTIMA Computing or its Editorial Staff. The main (first/corresponding) author is responsible for ensuring that the article has been seen and approved by all the other authors. It is the responsibility of the author to obtain all necessary copyright release permissions for the use of any copyrighted materials in the manuscript prior to the submission.