Nur Atikah Arbain, Mohd Sanusi Azmi, Azah Kamilah Draman Muda, Amirul Ramzani Radzid, A. Tahir
{"title":"A Review of Triangle Geometry Features in Object Recognition","authors":"Nur Atikah Arbain, Mohd Sanusi Azmi, Azah Kamilah Draman Muda, Amirul Ramzani Radzid, A. Tahir","doi":"10.1109/ISCAIE.2019.8743997","DOIUrl":null,"url":null,"abstract":"The geometrical form such as polygon shape can be used to represent object image via their geometrical properties. The geometry shapes such as polygon including rectangles, squares, pentagons and triangles can be used to produce geometry features through the feature extraction process. The use of geometrical forms in object recognition has been applied in determining similar object images which have broadly used in recognizing digit, biometric and vehicle detection. The triangle shape formation is essential to construct in order to produce triangle features. Otherwise, the triangle features cannot be produced. However, each of object recognition has different approaches to construct triangle shape due to their different characteristics such as style, pattern, shape and type which made the triangle features produced are different. This paper reviews several approaches that have used in producing the triangle geometry features in various object recognition such as fingerprint, face, digit dan vehicle detection. The aspects addressed are triangle shape formation, elements used as the benchmark to generate triangle points and properties or characteristics used as features type.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2019.8743997","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
The geometrical form such as polygon shape can be used to represent object image via their geometrical properties. The geometry shapes such as polygon including rectangles, squares, pentagons and triangles can be used to produce geometry features through the feature extraction process. The use of geometrical forms in object recognition has been applied in determining similar object images which have broadly used in recognizing digit, biometric and vehicle detection. The triangle shape formation is essential to construct in order to produce triangle features. Otherwise, the triangle features cannot be produced. However, each of object recognition has different approaches to construct triangle shape due to their different characteristics such as style, pattern, shape and type which made the triangle features produced are different. This paper reviews several approaches that have used in producing the triangle geometry features in various object recognition such as fingerprint, face, digit dan vehicle detection. The aspects addressed are triangle shape formation, elements used as the benchmark to generate triangle points and properties or characteristics used as features type.