{"title":"Shape recognition using a novel fractal technique","authors":"G. Neil, K. M. Curtis, M. Craven","doi":"10.1109/ICECS.1996.584464","DOIUrl":null,"url":null,"abstract":"Fractal transformations are an exciting new scale invariant shape recognition technique developed by the authors. They have been successfully used for spatially invariant shape recognition using a cumbersome rotational invariance algorithm. Within this paper a new rotational invariance algorithm is presented which makes the recognition process inherently rotationally invariant. A full discussion of fractal recognition is given and previous results discussed. The new algorithm is detailed and applied to a difficult recognition problem. The results of this application show that the new algorithm is successful in achieving the desired effect.","PeriodicalId":402369,"journal":{"name":"Proceedings of Third International Conference on Electronics, Circuits, and Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Third International Conference on Electronics, Circuits, and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.1996.584464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Fractal transformations are an exciting new scale invariant shape recognition technique developed by the authors. They have been successfully used for spatially invariant shape recognition using a cumbersome rotational invariance algorithm. Within this paper a new rotational invariance algorithm is presented which makes the recognition process inherently rotationally invariant. A full discussion of fractal recognition is given and previous results discussed. The new algorithm is detailed and applied to a difficult recognition problem. The results of this application show that the new algorithm is successful in achieving the desired effect.