Era identification and recognition of Ganga and Hoysala phase Kannada stone inscriptions characters using advance recognition algorithm

H. Mohana, B. K. Rajithkumar
{"title":"Era identification and recognition of Ganga and Hoysala phase Kannada stone inscriptions characters using advance recognition algorithm","authors":"H. Mohana, B. K. Rajithkumar","doi":"10.1109/ICCICCT.2014.6993043","DOIUrl":null,"url":null,"abstract":"Kannada language has about 2000 year's history. Karnataka was ruled by many rulers like Kadambas, Western Ganga Dynasty, Rashtrakuta, Chalukya, Hoysala and Vijayanagara Empire. The inscriptions generally found are on stone or copper plates. The Kannada inscriptions found on historical hero Stone, coin and temple wall, pillar, tablet and rock edict. Analysis of any language with rich heritage and history is very important to understand the life and culture of that period. It is necessary to digitize Stone inscriptions by modern technique. Here in the present work, the images of stone inscription are captured from ordinary digital camera and images are pre-processed to remove noise. In this paper we presented a new approach called Advance Recognition algorithm (ARA) for recognition of characters and era identification of Kannada stone inscriptions belong Ganga and Hoysala period. Here in the present work, the alphabets of Ganga, Hoysala periods are stored in a Template. The character is identified by analyzing its shape and comparing its features that distinguish each character. Mean value and sum of absolute difference value analysis technique is implemented in matching the characters. Experimental results shows, it demonstrates relatively high accuracy in recognizing both stone inscriptions of Ganga and Hoysala period. Also it has demonstrated better time efficiency when compared to previous methods.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"21 1","pages":"659-665"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICCT.2014.6993043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Kannada language has about 2000 year's history. Karnataka was ruled by many rulers like Kadambas, Western Ganga Dynasty, Rashtrakuta, Chalukya, Hoysala and Vijayanagara Empire. The inscriptions generally found are on stone or copper plates. The Kannada inscriptions found on historical hero Stone, coin and temple wall, pillar, tablet and rock edict. Analysis of any language with rich heritage and history is very important to understand the life and culture of that period. It is necessary to digitize Stone inscriptions by modern technique. Here in the present work, the images of stone inscription are captured from ordinary digital camera and images are pre-processed to remove noise. In this paper we presented a new approach called Advance Recognition algorithm (ARA) for recognition of characters and era identification of Kannada stone inscriptions belong Ganga and Hoysala period. Here in the present work, the alphabets of Ganga, Hoysala periods are stored in a Template. The character is identified by analyzing its shape and comparing its features that distinguish each character. Mean value and sum of absolute difference value analysis technique is implemented in matching the characters. Experimental results shows, it demonstrates relatively high accuracy in recognizing both stone inscriptions of Ganga and Hoysala period. Also it has demonstrated better time efficiency when compared to previous methods.
Ganga和Hoysala相卡纳达文石刻文字的时代识别与超前识别算法
卡纳达语有大约2000年的历史。卡纳塔克邦由许多统治者统治,如Kadambas、西恒河王朝、Rashtrakuta、Chalukya、Hoysala和Vijayanagara帝国。碑文一般在石头或铜板上发现。在历史英雄石、钱币、寺庙墙、石柱、碑和石碑上发现的卡纳达文碑文。分析任何具有丰富遗产和历史的语言对于理解那个时期的生活和文化都是非常重要的。利用现代技术对石刻进行数字化处理是十分必要的。在本作品中,石刻的图像是从普通的数码相机上拍摄的,并对图像进行预处理去噪。本文提出了一种名为“超前识别算法”(ARA)的新方法,用于Ganga和Hoysala时期卡纳达文石刻碑文的文字识别和年代鉴定。在本作品中,恒河、霍萨拉时期的字母存储在模板中。通过分析汉字的形状和比较汉字的特征来识别汉字。采用绝对差值和均值分析技术进行特征匹配。实验结果表明,该方法对恒河时期和霍萨拉时期的石刻碑文都具有较高的识别准确率。与以往的方法相比,该方法具有更好的时间效率。
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
0
×
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