{"title":"用于识别过程的形状签名","authors":"I.H. Khalifa, M.S.H. Fahmi, A.-E. Hassanien, H.A.R.M. Elsalamony","doi":"10.1109/NRSC.2000.838946","DOIUrl":null,"url":null,"abstract":"Most of classical methods for shape recognition depend on classification of the object's features. This paper, gets round these classical methods, and presents a technique to determine a signature for any given closed shape to recognize it. It is simple in calculations, efficient in time and space complexity. It is based on geometrical computations to represent the shape signature. It is found that the proposed technique is proper for the description and recognition process as well is illustrated by numerical examples.","PeriodicalId":211510,"journal":{"name":"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Shape signature for recognition process\",\"authors\":\"I.H. Khalifa, M.S.H. Fahmi, A.-E. Hassanien, H.A.R.M. Elsalamony\",\"doi\":\"10.1109/NRSC.2000.838946\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of classical methods for shape recognition depend on classification of the object's features. This paper, gets round these classical methods, and presents a technique to determine a signature for any given closed shape to recognize it. It is simple in calculations, efficient in time and space complexity. It is based on geometrical computations to represent the shape signature. It is found that the proposed technique is proper for the description and recognition process as well is illustrated by numerical examples.\",\"PeriodicalId\":211510,\"journal\":{\"name\":\"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRSC.2000.838946\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRSC.2000.838946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Most of classical methods for shape recognition depend on classification of the object's features. This paper, gets round these classical methods, and presents a technique to determine a signature for any given closed shape to recognize it. It is simple in calculations, efficient in time and space complexity. It is based on geometrical computations to represent the shape signature. It is found that the proposed technique is proper for the description and recognition process as well is illustrated by numerical examples.