{"title":"Advances in the Development of an Algorithm for Parametric Identification of Egyptian Hieroglyphs Using Artificial Vision","authors":"Rafael Bolívar León, C. Peña, G. G. Moreno","doi":"10.12720/jait.14.4.788-795","DOIUrl":null,"url":null,"abstract":"—This article presents the development of an algorithm for identifying Egyptian hieroglyphs written on papyri. For the development of the algorithm, the implementation of parametric artificial vision techniques allowed the reduction of computational power required. A study of the main morphological characteristics used in artificial vision was carried out, some relevant ones were selected, and others were adapted to be normalized and quantified quickly. It was shown that the established characteristics allow the differentiation and identification of the hieroglyphs of the ancient Egyptian alphabet. The developed algorithm has the advantage that it allows to differentiate characters, regardless of their initial size.","PeriodicalId":36452,"journal":{"name":"Journal of Advances in Information Technology","volume":"1 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advances in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12720/jait.14.4.788-795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
—This article presents the development of an algorithm for identifying Egyptian hieroglyphs written on papyri. For the development of the algorithm, the implementation of parametric artificial vision techniques allowed the reduction of computational power required. A study of the main morphological characteristics used in artificial vision was carried out, some relevant ones were selected, and others were adapted to be normalized and quantified quickly. It was shown that the established characteristics allow the differentiation and identification of the hieroglyphs of the ancient Egyptian alphabet. The developed algorithm has the advantage that it allows to differentiate characters, regardless of their initial size.