{"title":"基于多层SOM的指纹分类技术","authors":"W. Shalash, F. Abou-Chadi","doi":"10.1109/NRSC.2000.838955","DOIUrl":null,"url":null,"abstract":"This paper presents an automatic fingerprint classification technique similar to that reported by Ongun and Halici (see Proc. of IEEE vol.84, no.10, p.1497-12, 1996) but, an inverse filtering technique was introduced to restore the distorted parts of the images prior to the feature extraction stage. The results have shown that introducing the inverse filtering stage has improved the percentage of correct classification. Typical classification accuracy reaches 91% with no rejects, 98% with 8.1% rejects compared to the 87% with no rejects, 95% with 9.4% rejects obtained using the previously reported technique.","PeriodicalId":211510,"journal":{"name":"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A fingerprint classification technique using multilayer SOM\",\"authors\":\"W. Shalash, F. Abou-Chadi\",\"doi\":\"10.1109/NRSC.2000.838955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an automatic fingerprint classification technique similar to that reported by Ongun and Halici (see Proc. of IEEE vol.84, no.10, p.1497-12, 1996) but, an inverse filtering technique was introduced to restore the distorted parts of the images prior to the feature extraction stage. The results have shown that introducing the inverse filtering stage has improved the percentage of correct classification. Typical classification accuracy reaches 91% with no rejects, 98% with 8.1% rejects compared to the 87% with no rejects, 95% with 9.4% rejects obtained using the previously reported technique.\",\"PeriodicalId\":211510,\"journal\":{\"name\":\"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRSC.2000.838955\",\"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 Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRSC.2000.838955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
本文提出了一种类似于Ongun和Halici所报道的自动指纹分类技术(参见Proc. of IEEE vol.84, no。10, p.1497-12, 1996),但是,在特征提取阶段之前,引入反滤波技术来恢复图像的扭曲部分。结果表明,引入反滤波阶段提高了分类正确率。典型的分类准确率达到91%(无拒绝),98%(8.1%拒绝),而使用先前报道的技术获得的分类准确率为87%(无拒绝),95%(9.4%拒绝)。
A fingerprint classification technique using multilayer SOM
This paper presents an automatic fingerprint classification technique similar to that reported by Ongun and Halici (see Proc. of IEEE vol.84, no.10, p.1497-12, 1996) but, an inverse filtering technique was introduced to restore the distorted parts of the images prior to the feature extraction stage. The results have shown that introducing the inverse filtering stage has improved the percentage of correct classification. Typical classification accuracy reaches 91% with no rejects, 98% with 8.1% rejects compared to the 87% with no rejects, 95% with 9.4% rejects obtained using the previously reported technique.