Fitriawan, Helmy and Ariyanto, Ariyanto and Setiawan, Hendri (2016) Neural Networks for Lampung Characters Handwritten Recognition. In: 2016 International Conference on Computer & Communication Engineering, 26-27 Juli 2016, Kuala Lumpur, Malaysia.

[img]
Preview
Text
07808365.pdf

Download (396kB) | Preview

Abstract

Character recognition technique associates a symbolic identity with the image of a character. Different characters and languages have different structures and features. Lampung character and language are different with any other languages. We have developed Lampung handwritten character recognition using back-propagation neural networks. However since some Lampung characters have similar features, hierarchical network system was performed to optimize the training and recognition algorithm. The experiment results give reasonable results of the recognition rate for the training set. 86.5% of basic characters and more than 97% for characters with tone marks can be recognised.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik (FT) > Prodi Teknik Elektro
Depositing User: Dr Helmy Fitriawan
Date Deposited: 02 Jun 2017 20:46
Last Modified: 02 Jun 2017 20:46
URI: http://repository.lppm.unila.ac.id/id/eprint/2842

Actions (login required)

View Item View Item