在法医场景中识别指纹
Nuno Martins1,2, José Silvestre Silva1,3,4, Alexandre Bernardino2,5
1Portuguese Military Academy, 1169-203 Lisbon, Portugal.
Sensors (Basel, Switzerland)
|January 26, 2024
概括
本研究介绍了一种有效的指纹匹配方法,用于实时法医应用. 这种新的方法使用周围的多边形验证了个别细节,提高了犯罪现场调查的准确性和稳定性.
科学领域:
- 生物识别信息 生物识别信息
- 法医科学 法医科学 法医科学
- 计算机视觉 计算机视觉
背景情况:
- 指纹在法医中是重要的生物识别标识符.
- 在大型数据库或实时场景中匹配指纹细节仍然具有挑战性.
- 手动处理犯罪现场指纹是耗时且资源密集的.
研究的目的:
- 开发一个高效的,实时的指纹匹配方法.
- 为了减少法医调查中的手工工作量.
- 提高指纹识别系统的准确性和稳定性.
主要方法:
- 使用面向的加博波器进行图像预处理.
- 通过经过修改的交叉数字方法进行微细提取,并提供了新的ROI定义.
- 使用周围的多边形创建一个微小的表示模型.
- 基于错误指标的个人细节匹配.
主要成果:
- 拟议的方法在标准硬件上实现实时性能.
- 该系统表现出对虚假细节的稳定性,并且对旋转和翻译是免疫的.
- 使用n顶多边形的个别细节验证被证明是有效的.
结论:
- 开发的方法提供了一个有效的解决方案,用于实时指纹匹配在法医场景.
- 基于多边形的细节表示增强了系统可靠性.
- 这种方法可以显著减少犯罪现场调查的手工劳动.
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