{"title":"ORB-based Fingerprint Matching Algorithm for Mobile Devices","authors":"Yue Li, Guangshun Shi","doi":"10.1109/CCET48361.2019.8989155","DOIUrl":null,"url":null,"abstract":"With the popularity and continuous development of smartphones and other mobile devices, the area of the fingerprint sensors is continuously reduced, resulting in a continuous reduction in the size of the fingerprint. In the process of fingerprint registration, the complete fingerprint image is merged by acquiring a set of small fingerprint images. In the comparison process, the partial fingerprint image is compared to the full image. The traditional fingerprint matching method is mostly based on the minutiae and singular points. Since partial fingerprint contains limited minutiae and most of them do not include any singular points, we proposed a local fingerprint matching algorithm based on ORB feature, which has a good effect on partial fingerprint matching. Also shows the experimental results on two public data sets (FVC2004 and sd04) and a private database.","PeriodicalId":231425,"journal":{"name":"2019 IEEE 2nd International Conference on Computer and Communication Engineering Technology (CCET)","volume":"7 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Computer and Communication Engineering Technology (CCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCET48361.2019.8989155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the popularity and continuous development of smartphones and other mobile devices, the area of the fingerprint sensors is continuously reduced, resulting in a continuous reduction in the size of the fingerprint. In the process of fingerprint registration, the complete fingerprint image is merged by acquiring a set of small fingerprint images. In the comparison process, the partial fingerprint image is compared to the full image. The traditional fingerprint matching method is mostly based on the minutiae and singular points. Since partial fingerprint contains limited minutiae and most of them do not include any singular points, we proposed a local fingerprint matching algorithm based on ORB feature, which has a good effect on partial fingerprint matching. Also shows the experimental results on two public data sets (FVC2004 and sd04) and a private database.