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 October 31, 2025, https://repository.horizon.ac.id/items/show/8382.