活人赤脚足底表面显示质量差的指标分类

V. I. Balko
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引用次数: 0

摘要

摘要分析了传统活人指纹采集中赤脚足底乳头状指纹质量差的12个指标。在对700张特殊指纹卡进行两个时间段的研究时,由于总定量指标减少,指标按时间顺序进行了分类和排列。得出的结论是,足底表面指纹质量差的大部分指标与脚底潮湿和脏的指纹、重新涂漆和涂抹的指纹等指标有关。鉴定出一种仅适用于脚底的特殊指标——“大脚趾上部的污迹”。这些指标是根据另外三个指标来划分脚印质量差的。已经确定的是,足迹的质量取决于获取足迹所使用的技术和技术的质量,以及由有能力的人进行适当的控制。这使优化措施成为可能,以提高用于显示活人赤脚足底表面乳头状指纹的特殊指纹卡的质量,以便进行比较研究,特别是在无法通过手指和手掌识别人的情况下,以及在不久的将来使用生物识别足底终端。在作者以前的作品的发展中,给出了提取足乳头状底的指纹的理论和实践建议。这将影响到自动指纹信息系统中图像的编码及其搜索特性,最重要的是影响到最终对人的及时、客观的识别结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of indicators of poor quality display of the plantar surface of bare feet of living persons
12 indicators of poor quality of papillary prints of the plantar surface of bare feet were revealed during traditional fingerprinting of living persons. Indicators are classified and arranged in chronological order as the total quantitative indicator decreases when studying 700 special fingerprint cards over two periods of time. It was concluded that the bulk of the indicators of poor quality of the plantar surface prints is associated with such indicators as prints from wet and dirty soles of the feet, repainted and smeared prints. A specific indicator only for the sole of the feet - “smeared print of the upper part of the big toe” was identified. These indicators are divided according to three more indicators for poor quality of footprints. It has been established that the quality of footprints depends on the quality of the technique and technology used to obtain them and the appropriate control by a competent person. This makes it possible to optimize measures to improve the quality of a special fingerprint card for displaying papillary prints of the plantar surface of the bare feet of living persons for comparative studies, especially when it is impossible to identify a person by the fingers and palms of the hands, as well as in connection with the use of biometric plantar terminals in the near future. Theoretical and practical recommendations for taking prints of the papillary sole of the feet are given in the development of the author’s previous works. This will affect the encoding of the image in the automatic fingerprint information system and its search characteristics, and most importantly, the final result for the prompt and objective identification of the person.
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