How to Stepping up Characters Recognition using CNN Algorithm?
Dublin Core
Title
How to Stepping up Characters Recognition using CNN Algorithm?
Subject
Handwriting, Recognition, Deep Learning, CNN
Description
Character recognition is essentialto the ancient understandingcultureof human sociologies.It consists of differences in textures, backdrops, font size, and coloring that causes challengesindistinguishing the characters in the current images.Various papers proposed numerous to deal with handwritten character recognition. However, several traditional remain drawbacks because methods still rely on operations based on visual capabilities. Therefore, to deal with the issue, we propose a novel recognition model using a Convolutional Neural Network to produce an effective result. To build the model, we collect datasets, do pre-processing, training with several different parameters to get the highest accuracy results. Based on experiments, our proposed model can produce ahigher accuracy with a slightloss. Therefore, it can be a promising approach to addressingtraditional character recognition
Creator
Al-SadiKhaled1, Putra Wanda2.
Source
https://ijicom.respati.ac.id/index.php/ijicom/article/view/53/42
Date
Desember 2022
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Al-SadiKhaled1, Putra Wanda2., “How to Stepping up Characters Recognition using CNN Algorithm?,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8382.