Finger Vein Image Compression with Uniform Background

Babak Maser, Jutta Hämmerle-Uhl, T. Lipowski, A. Uhl
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Abstract

We propose to replace the background data in finger vein imagery by uniform gray data and implications on (i) achieved lossless compression performance and (ii) obtained recognition accuracy in case of lossy compression are determined to employ 2 public datasets. Results indicate that replacement of original background by uniform one is definitely profitable for lossless compression, while the lossy case with impact on recognition accuracy has to be handled with caution as introduced sharp edges between finger area and background lead to artifacts which in turn degrade recognition performance. After having smoothed those areas, recognition performance is improved when replacing background for all settings.
均匀背景下手指静脉图像压缩
我们建议用均匀的灰度数据代替手指静脉图像中的背景数据,并确定了使用2个公开数据集对(i)实现无损压缩性能和(ii)在有损压缩情况下获得识别精度的影响。结果表明,用均匀背景代替原始背景对无损压缩是有利的,而有损情况会影响识别精度,需要谨慎处理,因为手指区域和背景之间引入的锐边会导致伪影,从而降低识别性能。在对这些区域进行平滑处理后,在替换所有设置的背景时,识别性能得到了提高。
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