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Lossless Compression of Polar Iris Image Data

机译:极光虹膜图像数据的无损压缩

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摘要

The impact of using different lossless compression algorithms when compressing biometric iris sample data from several public iris databases is investigated. In particular, the application of dedicated lossless image codecs (lossless JPEG, JPEG-LS, PNG, and GIF), lossless variants of lossy codecs (JPEG2000, JPEG XR, and SPIHT), and a few general purpose file compression schemes is compared. We specifically focus on polar iris images (as a result after iris detection, iris extraction, and mapping to polar coordinates). The results are discussed in the light of the recent ISO/IEC FDIS 19794-6 standard and IREX recommendations.
机译:研究了在压缩来自多个公共虹膜数据库的生物特征虹膜样本数据时使用不同的无损压缩算法的影响。特别是,比较了专用无损图像编解码器(无损JPEG,JPEG-LS,PNG和GIF),有损编解码器(JPEG2000,JPEG XR和SPIHT)的无损变体以及一些通用文件压缩方案的应用。我们特别专注于极光虹膜图像(作为虹膜检测,虹膜提取以及映射到极坐标后的结果)。将根据最新的ISO / IEC FDIS 19794-6标准和IREX建议对结果进行讨论。

著录项

  • 来源
  • 会议地点 Las Palmas de Gran Canaria(ES);Las Palmas de Gran Canaria(ES)
  • 作者单位

    School of CEIT, Carinthian University of Applied Sciences, Austria;

    School of CEIT, Carinthian University of Applied Sciences, Austria;

    School of CEIT, Carinthian University of Applied Sciences, Austria,Department of Computer Sciences, University of Salzburg, Austria;

    School of CEIT, Carinthian University of Applied Sciences, Austria;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理(信息加工);
  • 关键词

  • 入库时间 2022-08-26 13:51:38

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