手指静脉识别中的压缩标准

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI:10.1109/ICB.2016.7550046

Victoria Ablinger, C. Zenz, Jutta Hämmerle-Uhl, A. Uhl

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引用次数: 4

摘要

应用三种ISO/IEC静态图像压缩标准对手指静脉识别精度的影响进行了评估。虽然JPEG在低比特率方面没有竞争力，但JPEG 2000和JPEG XR在不同类型的模板生成技术方面表现良好。发现PSNR作为图像质量的通用度量不适合作为压缩伪影下手指静脉识别性能的预测器。

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Compression standards in finger vein recognition

The impact of applying three ISO/IEC still image compression standards to finger vein recognition accuracy is assessed. While JPEG is not competitive for low bitrates, JPEG 2000 and JPEG XR turn out to perform well for different types of template generation techniques. PSNR as a generic measure for image quality is found not to be suited as a predictor for finger vein recognition performance under compression artifacts.

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2016 International Conference on Biometrics (ICB)

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