The object detection system of balinese script on traditional Balinese manuscript with findcontours method

P. Manuaba, K. Indah
{"title":"The object detection system of balinese script on traditional Balinese manuscript with findcontours method","authors":"P. Manuaba, K. Indah","doi":"10.31940/matrix.v11i3.177-184","DOIUrl":null,"url":null,"abstract":"Lontar is a traditional Balinese manuscript with a Balinese script in it. Balinese traditional manuscripts can be more than 100 years old. The age factor of the Balinese manuscript has an impact on the Balinese script in it. Balinese script that has been written more than 10 years tends to be darker. This makes Balinese script not visible well, and this affects the image quality of the manuscript. This thing becomes the main issue in this research, Balinese script detection on Balinese manuscript images. the first of all is image processing using edge detection, canny and Sobel becomes the main algorithm of this process. After image processing, the Balinese manuscript will be processed with the findcontour method to detect an object that contains in it. The final process of this detection system is to separate detected objects into three main groups namely noise object, Balinese script object, and hole object. Application (Balinese script object detection system) is more accurate in detecting Balinese script objects in Balinese script under 1 year (new script), it tends to be more likely to find noise/dirt. This is because the writing of the lontar using a pencil first before using the knife media. This adds to the noise or dirt detected by the application The findcontour method can detect Balinese script objects with a detection result of 30% - 70% Balinese script objects.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"05 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Matrix Jurnal Manajemen Teknologi dan Informatika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31940/matrix.v11i3.177-184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Lontar is a traditional Balinese manuscript with a Balinese script in it. Balinese traditional manuscripts can be more than 100 years old. The age factor of the Balinese manuscript has an impact on the Balinese script in it. Balinese script that has been written more than 10 years tends to be darker. This makes Balinese script not visible well, and this affects the image quality of the manuscript. This thing becomes the main issue in this research, Balinese script detection on Balinese manuscript images. the first of all is image processing using edge detection, canny and Sobel becomes the main algorithm of this process. After image processing, the Balinese manuscript will be processed with the findcontour method to detect an object that contains in it. The final process of this detection system is to separate detected objects into three main groups namely noise object, Balinese script object, and hole object. Application (Balinese script object detection system) is more accurate in detecting Balinese script objects in Balinese script under 1 year (new script), it tends to be more likely to find noise/dirt. This is because the writing of the lontar using a pencil first before using the knife media. This adds to the noise or dirt detected by the application The findcontour method can detect Balinese script objects with a detection result of 30% - 70% Balinese script objects.
基于findcontours方法的巴厘文字目标检测系统
Lontar是一种传统的巴厘手稿,里面有巴厘文字。巴厘岛的传统手稿可以有100多年的历史。巴厘手稿的年代因素对其中的巴厘文字有影响。写了10年以上的巴厘剧本往往比较黑暗。这使得巴厘文字不明显,从而影响了手稿的图像质量。巴厘文手稿图像的巴厘文检测成为本研究的主要课题。首先是利用边缘检测进行图像处理,canny和Sobel算法成为这一过程的主要算法。经过图像处理后,将对巴厘文手稿进行findcontour方法处理,以检测其中包含的物体。该检测系统的最终过程是将检测到的目标分为三大类,即噪声目标、巴厘文字目标和孔洞目标。应用程序(巴厘文字对象检测系统)在检测1年以下巴厘文字(新文字)的巴厘文字对象时更准确,它往往更容易发现噪音/污垢。这是因为lontar的书写先用铅笔再用刀介质。findcontour方法可以检测巴厘文字对象,检测结果为30% - 70%的巴厘文字对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
13
审稿时长
24 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信