{"title":"采用基于小波变换的融合技术提高指纹图像的质量","authors":"I. Enesi, B. Çiço, Miranda Harizaj","doi":"10.1145/3472410.3472447","DOIUrl":null,"url":null,"abstract":"Fingerprint images are practically most widely used in biometric systems for person identification. Their quality is very important in extracting true minutiae. In this paper we treat the method of increasing the true minutiae detected number based on the fusion of two fingerprint images obtained in different positions. Wavelet transform based fusion method are implemented using different wavelets. From the results it yields that the fusion based on DWT transform increases the accuracy of minutiae detected.","PeriodicalId":115575,"journal":{"name":"Proceedings of the 22nd International Conference on Computer Systems and Technologies","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Increasing quality in fingerprint images by Implementing wavelet transform based fusion technique\",\"authors\":\"I. Enesi, B. Çiço, Miranda Harizaj\",\"doi\":\"10.1145/3472410.3472447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fingerprint images are practically most widely used in biometric systems for person identification. Their quality is very important in extracting true minutiae. In this paper we treat the method of increasing the true minutiae detected number based on the fusion of two fingerprint images obtained in different positions. Wavelet transform based fusion method are implemented using different wavelets. From the results it yields that the fusion based on DWT transform increases the accuracy of minutiae detected.\",\"PeriodicalId\":115575,\"journal\":{\"name\":\"Proceedings of the 22nd International Conference on Computer Systems and Technologies\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 22nd International Conference on Computer Systems and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3472410.3472447\",\"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 22nd International Conference on Computer Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3472410.3472447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Increasing quality in fingerprint images by Implementing wavelet transform based fusion technique
Fingerprint images are practically most widely used in biometric systems for person identification. Their quality is very important in extracting true minutiae. In this paper we treat the method of increasing the true minutiae detected number based on the fusion of two fingerprint images obtained in different positions. Wavelet transform based fusion method are implemented using different wavelets. From the results it yields that the fusion based on DWT transform increases the accuracy of minutiae detected.