基于生物医学特征的人类识别的新兴趋势:图书统计学分析
Nancy Girdhar1, Deepak Sharma2, Rajeev Kumar3
1L3i, University of La Rochelle, La Rochelle, 17000, France.
SLAS technology
|April 27, 2024
概括
这项文献计量研究分析了生物医学特征,用于个人人类识别. 它强调了生物识别方法的关键趋势,新兴技术和全球研究合作.
科学领域:
- 生物识别和法医科学
- 计算机科学 计算机科学
- 遗传学 遗传学 是一个
背景情况:
- 个人身份识别对安全,执法和医疗保健至关重要.
- 生物识别特征提供了独特和可靠的识别方法.
- 技术的进步扩大了生物识别的范围.
研究的目的:
- 通过生物医学特征对个人人类识别的最新进展进行文献计量分析.
- 确定该领域的关键趋势,新兴技术和研究合作.
- 绘制全球研究格局和生物识别知识流的地图.
主要方法:
- 对过去十年的研究文章,评论和专利进行系统的文献审查.
- 基于生物医学特征 (例如指纹,虹膜,脸部,DNA) 的文献分类.
- 对出版趋势,地理分布和协作网络的图书统计分析.
主要成果:
- 在各种生物识别类别中识别主要趋势和新兴技术.
- 在生物识别研究领域领先的国家和机构的映射.
- 协作网络的可视化,表明知识传播模式.
结论:
- 生物医学个人识别领域正在迅速发展,并且高度跨学科.
- 了解研究趋势和合作对于未来的进步至关重要.
- 这项研究为研究人员,从业者和政策制定者提供了全面的概述.
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