"t"时间:通过冲动和斜坡调查手性
Kata Šunjić1, Ana Banovac1, Tijana Kafadar1
1University Department of Forensic Sciences, University of Split, Split, Croatia.
Journal of forensic sciences
|July 25, 2024
概括
手写分析揭示了左撇子和右撇子之间明显的笔记模式. 一个新的模型从字母"t"的动作中准确地识别出手性,有助于验证作者身份.
科学领域:
- 法医科学 法医科学 法医科学
- 生物识别信息 生物识别信息
- 图形学 图形学 图形学
背景情况:
- 手写分析在法医调查中至关重要.
- 区分左撇子和右撇子写作可以帮助作者归因.
- 现有的从手写中确定手性的方法是有限的.
研究的目的:
- 为了研究和比较左手和右手手写的冲击和斜率特征.
- 开发和验证一种基于手写特征的手性分类模型.
- 评估模型在识别有争议的文件中的作者手性方面的准确性.
主要方法:
- 从内部和公共手写样本中分析特定字母 (t, f, đ, H, l, d, g) 的冲击和斜率方向.
- 开发一个逻辑回归模型,使用"t"字母的平均冲动来分类手性.
- 在独立的手写数据集上对模型的验证.
主要成果:
- 在左撇子和右撇子之间观察到中风方向的统计学上显著差异 (p ≤0.05).
- 右撇子主要表现出左向右的动作 (98%-100%),而左撇子则表现出更多的变化.
- 开发的模型在识别左手写作时达到100%的准确性,右手写作时达到73%-97%的准确性.
结论:
- 手写的笔迹特征,特别是字母"t"的笔迹特征,可以可靠地区分左撇子和右撇子的作者.
- 开发的后勤回归模型显示,在作者的确定中,法医应用具有很高的潜力.
- 在有争议的手写案例中,这种方法可以有效地排除或缩小潜在的作者.
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