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.