{"title":"Ganga和Hoysala相卡纳达文石刻文字的时代识别与超前识别算法","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":"{\"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}","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}
Era identification and recognition of Ganga and Hoysala phase Kannada stone inscriptions characters using advance recognition algorithm
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.