Noblis, 3150 Fairview Park Drive, Falls Church, VA 22043, USA.
Forensic Sci Int. 2013 Mar 10;226(1-3):106-17. doi: 10.1016/j.forsciint.2012.12.015. Epub 2013 Jan 10.
The ability of friction ridge examiners to correctly discern and make use of the ridges and associated features in finger or palm impressions is limited by clarity. The clarity of an impression relates to the examiner's confidence that the presence, absence, and attributes of features can be correctly discerned. Despite the importance of clarity in the examination process, there have not previously been standard methods for assessing clarity in friction ridge impressions. We introduce a process for annotation, analysis, and interchange of friction ridge clarity information that can be applied to latent or exemplar impressions. This paper: (1) describes a method for evaluating the clarity of friction ridge impressions by using color-coded annotations that can be used by examiners or automated systems; (2) discusses algorithms for overall clarity metrics based on manual or automated clarity annotation; and (3) defines a method of quantifying the correspondence of clarity when comparing a pair of friction ridge images, based on clarity annotation and resulting metrics. Different uses of this approach include examiner interchange of data, quality assurance, metrics, and as an aid in automated fingerprint matching.
摩擦力检验员正确识别和利用指纹或掌纹中的嵴纹和相关特征的能力受到清晰度的限制。印痕的清晰度与检验员对特征的存在、缺失和属性能够正确识别的信心有关。尽管在检查过程中清晰度很重要，但以前没有评估摩擦力印痕清晰度的标准方法。我们引入了一种用于注释、分析和交换摩擦力清晰度信息的过程，该过程可应用于潜在或示例印痕。本文：（1）描述了一种通过使用彩色编码注释来评估摩擦力印痕清晰度的方法，检验员或自动化系统可以使用这些注释；（2）讨论了基于手动或自动清晰度注释的整体清晰度指标的算法；（3）定义了一种基于清晰度注释和由此产生的指标来量化比较一对摩擦力图像时清晰度一致性的方法。这种方法的不同用途包括检验员数据交换、质量保证、指标以及在自动指纹匹配中作为辅助工具。
