ShoeCase: 一个模拟犯罪现场鞋子印记数据集
Abigail Tibben1, Megan McGuire1, Stacy Renfro1
1Iowa State University: 3410 Beardshear Hall, Ames, IA 50011 CSAFE: 195 Durham Center 613 Morrill Road Ames, IA 50011, USA.
Data in brief
|October 2, 2023
概括
一个新的开源数据库高质量的鞋印图像,包括各种表面的血液和尘埃印记,现在可用于法医科学研究. 这种宝贵的资源有助于犯罪现场调查和鞋类分析.
科学领域:
- 法医科学 法医科学 法医科学
- 图像分析 图像分析
- 数据库开发 数据库开发
背景情况:
- 类似于犯罪现场的鞋履印记数据集很少.
- 高质量的图像对于准确的法医分析至关重要.
- 现有的数据库在印象类型和收集方法方面缺乏多样性.
研究的目的:
- 创建一个全面的,开源的鞋印图像数据库.
- 为法医科学和研究社区提供可复制的数据集.
- 包括多样化的印记类型,地板材料和捕捉技术.
主要方法:
- 收集了完整,部分和灰尘鞋印的高质量图像.
- 使用各种类型的地板 (乙烯基,) 和印记介质 (血液,石墨粉).
- 使用多种提升技术 (凝提升,手印) 和数字文件格式 (TIF,XMP,CR3,JPG).
主要成果:
- 开发了一个公开可用的数据库,包含936个独特的鞋印图像 (3,275个文件).
- 通过标准化协议和可访问材料,确保数据的可复制性.
- 包括混合印记类型,多种基板和多种捕获方法.
结论:
- 数据库填补了研究人员和法医检查人员的关键空白.
- 多样化的数据集增强了从犯罪现场的鞋类证据的研究.
- 本资源支持法医鞋类分析和模式识别方面的进展.
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