研究非法博操作中使用的打牌模式修改的检测技术
Joong Lee1, Hongseok Kim2, Tae-Yi Kang2
1Artifical Intelligence BigData Medical Center, Yonsei University Wonju College of Medicine, Wonju-si, Gangwon-do, Republic of Korea.
Journal of forensic sciences
|July 7, 2023
概括
这项研究介绍了一种快速,移动友好的方法来检测用于博欺诈的修改模式的标记卡. 通过使用图像处理和语网络分析卡片图案,它有助于执法部门识别欺诈性文件.
科学领域:
- 法医科学 法医科学 法医科学
- 计算机视觉 计算机视觉
- 图像处理 图像处理
背景情况:
- 韩国的欺诈性博案件通常涉及修改图案的标记卡.
- 这些标记的卡片具有对重复的背面模式的改变,允许检测前侧手.
- 现有的检测方法可能耗时或需要专门的设备.
研究的目的:
- 开发一种有效且易于使用的方法来识别用于博欺诈的修改图案标记卡.
- 为执法部门和文档审查人员提供一个工具,以便快速检测卡片的更改.
- 为了利用图像处理和深度学习进行法医文档分析.
主要方法:
- 利用图像处理技术来增强卡片图案上的颜色差异.
- 使用语网络计算卡背上的重复基本图案之间的相似性.
- 开发了一种只需要一个或两个卡的方法来确定变形.
主要成果:
- 拟议的方法成功地识别了标记卡上的修改部分.
- 该技术是快速和方便的,适用于现场调查.
- 该系统有效地可视化卡的更改,无需昂贵的设备.
结论:
- 开发的方法提供了一种快速,方便和经济有效的解决方案,用于检测欺诈性博中的标记卡.
- 这种方法可以集成到移动应用程序中,为执法部门提供快速调查能力.
- 该技术是文档审查人员在玩的法医分析中提供了宝贵的帮助.
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