{"title":"钞票碎片拼装的特征点匹配","authors":"Chih-Ying Gwo, Chia-Hung Wei, An-Wen Deng","doi":"10.1109/ICISCE.2015.72","DOIUrl":null,"url":null,"abstract":"Banknotes, known as a bill, paper money, or simply a note, may be shredded by a scrap machine, ripped up by hand, or damaged in accidents. To assemble broken money note pieces is one of the time-consuming tasks encountered by forensic institutes. This paper proposes an effective scheme to match feature points and rotate the orientation of each fragment for banknote assembly. The experimental results show that the proposed scheme achieves the least errors in the estimated rotation angle.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Matching of Feature Points for Moneynote Fragment Assembly\",\"authors\":\"Chih-Ying Gwo, Chia-Hung Wei, An-Wen Deng\",\"doi\":\"10.1109/ICISCE.2015.72\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Banknotes, known as a bill, paper money, or simply a note, may be shredded by a scrap machine, ripped up by hand, or damaged in accidents. To assemble broken money note pieces is one of the time-consuming tasks encountered by forensic institutes. This paper proposes an effective scheme to match feature points and rotate the orientation of each fragment for banknote assembly. The experimental results show that the proposed scheme achieves the least errors in the estimated rotation angle.\",\"PeriodicalId\":356250,\"journal\":{\"name\":\"2015 2nd International Conference on Information Science and Control Engineering\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 2nd International Conference on Information Science and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCE.2015.72\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 2nd International Conference on Information Science and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCE.2015.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Matching of Feature Points for Moneynote Fragment Assembly
Banknotes, known as a bill, paper money, or simply a note, may be shredded by a scrap machine, ripped up by hand, or damaged in accidents. To assemble broken money note pieces is one of the time-consuming tasks encountered by forensic institutes. This paper proposes an effective scheme to match feature points and rotate the orientation of each fragment for banknote assembly. The experimental results show that the proposed scheme achieves the least errors in the estimated rotation angle.