Palm Vein Recognition by Combining Curvelet Transform and Gabor Filter
作者： Junwen Sun , Waleed Abdulla
DOI: 10.1007/978-3-319-02961-0_39
关键词:
摘要: Biometrics research based on palm vein recognition has been developed rapidly in recently years. However, due to the poor image quality, performance of is not good enough. Recently, coding algorithms, such as Curvelet transform and Gabor Filter have proposed attracting much attention. While Transform at extracting linear features from images, excels orientation features. By investigating these two different schemes, we propose this paper a score-level fusion scheme for print/vein verification. The method was applied HK PolyU Database an EER 0.1023% achieved, which outperforms using or alone.
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sci-hub.st 参考文章(25)
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