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The Identification of Balinese Scripts’ Characters based on Semantic Feature and K Nearest Neighbor

by Made Sudarma, I Wayan Agus Surya Darma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 1
Year of Publication: 2014
Authors: Made Sudarma, I Wayan Agus Surya Darma
10.5120/15845-4727

Made Sudarma, I Wayan Agus Surya Darma . The Identification of Balinese Scripts’ Characters based on Semantic Feature and K Nearest Neighbor. International Journal of Computer Applications. 91, 1 ( April 2014), 14-18. DOI=10.5120/15845-4727

@article{ 10.5120/15845-4727,
author = { Made Sudarma, I Wayan Agus Surya Darma },
title = { The Identification of Balinese Scripts’ Characters based on Semantic Feature and K Nearest Neighbor },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 1 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number1/15845-4727/ },
doi = { 10.5120/15845-4727 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:38.582395+05:30
%A Made Sudarma
%A I Wayan Agus Surya Darma
%T The Identification of Balinese Scripts’ Characters based on Semantic Feature and K Nearest Neighbor
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 1
%P 14-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Papyrus script is a cultural heritage in Bali. As we know, that the papyrus is a cultural matter which is rich in valuable cultural values. Issues or problems encountered today is that the papyrus are not well maintained. Thus, many papyrus becomes damaged because it is not stored properly. Papyrus script was written using Balinese script's characters which having different features compared with Latin's characters. Balinese script can be recognized with feature extraction owned by each Balinese script. KNN is a classification algorithm based on nearest neighborhood. KNN can be used to classify Balinese script's features so that the test Balinese script's features which having nearest neighborhood value with the trained Balinese script's features will be recognized as the same Balinese script.

References
  1. Aggarwal, Ashutosh, Rani, Rajneesh, Handwritten Devanagari Character Recognition Using Gradient Features, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 5, ISSN: 2277 128X, 2012.
  2. Akbari. Mohammad, Eslami. Reyhaneh, Kashani. M. H. , Offline Persian Writer Identification Based on Wavelet Analysis, International Conference on Bioinformatics and Biomedical Technology vol. 29, 2012.
  3. Bhokse. Bhushan C. , Thakare. Bhushan S. , Devnagari Handwriting Recognition System using Dynamic Time Warping Algorithm, International Journal of Computer Applications, Volume 52– No. 9, 0975 – 8887 August 2012.
  4. Elglaly. Yasmine, Quek. Francis Isolated Handwritten Arabic Characters Recognition using Multilayer Perceptrons and K Nearest Neighbor Classifiers, Computer Science Department, Virginia Polytechnic Institute and State University
  5. Putra. IKG Darma, Pengolahan Citra Digital, Andi No ISBN 9789792914436, 2010
  6. http://www. babadbali. com/aksarabali/books/ppebb. htm diakses terakhir tanggal 4 January 2014
Index Terms

Computer Science
Information Sciences

Keywords

Balinese scripts Feature extraction KNN

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