{"title":"一种针对低质量指静脉图像的有效质量改进方法","authors":"Wei Pi, Jiun Shin, Dongsun Park","doi":"10.1109/ICEIE.2010.5559667","DOIUrl":null,"url":null,"abstract":"In recent years, finger vein authentication technology becomes a new highlight in biometric technology. However, the acquired images are low quality because of near-infrared conditions and different structures in different parts of finger, which will severely impacts identification accuracy of the whole system. Therefore, it is necessary to improve the quality of images. In this paper, an effective approach for improving the quality of images is proposed. At first, edge-preserving filter is used for denoising, and then the small blurred finger vein textures are enhanced by elliptic highpass filter. Finally, histogram equalization enhances the contrast of images. The experimental images and estimation results show that the finger vein images become much clearer than original ones, and prove the proposed approach is efficient to improve the quality of images.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"An effective quality improvement approach for low quality finger vein image\",\"authors\":\"Wei Pi, Jiun Shin, Dongsun Park\",\"doi\":\"10.1109/ICEIE.2010.5559667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, finger vein authentication technology becomes a new highlight in biometric technology. However, the acquired images are low quality because of near-infrared conditions and different structures in different parts of finger, which will severely impacts identification accuracy of the whole system. Therefore, it is necessary to improve the quality of images. In this paper, an effective approach for improving the quality of images is proposed. At first, edge-preserving filter is used for denoising, and then the small blurred finger vein textures are enhanced by elliptic highpass filter. Finally, histogram equalization enhances the contrast of images. The experimental images and estimation results show that the finger vein images become much clearer than original ones, and prove the proposed approach is efficient to improve the quality of images.\",\"PeriodicalId\":211301,\"journal\":{\"name\":\"2010 International Conference on Electronics and Information Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Electronics and Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIE.2010.5559667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Electronics and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIE.2010.5559667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An effective quality improvement approach for low quality finger vein image
In recent years, finger vein authentication technology becomes a new highlight in biometric technology. However, the acquired images are low quality because of near-infrared conditions and different structures in different parts of finger, which will severely impacts identification accuracy of the whole system. Therefore, it is necessary to improve the quality of images. In this paper, an effective approach for improving the quality of images is proposed. At first, edge-preserving filter is used for denoising, and then the small blurred finger vein textures are enhanced by elliptic highpass filter. Finally, histogram equalization enhances the contrast of images. The experimental images and estimation results show that the finger vein images become much clearer than original ones, and prove the proposed approach is efficient to improve the quality of images.