• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

耳部识别:一项初步研究。

Ear identification: a pilot study.

作者信息

Cameriere Roberto, DeAngelis Danilo, Ferrante Luigi

机构信息

Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.

出版信息

J Forensic Sci. 2011 Jul;56(4):1010-4. doi: 10.1111/j.1556-4029.2011.01778.x. Epub 2011 Apr 19.

DOI:10.1111/j.1556-4029.2011.01778.x
PMID:21729082
Abstract

Although several papers have recently been devoted to establishing the validity of identification using the ear, this part of the human body still remains underexploited in forensic science. The perfect overlap of two images of the same ear is not really possible, but photographs of the ears as a reliable means of inferring the identity of an individual are poorly treated in the literature. In this study, we illustrate a simple, reproducible method, which divides the photograph of an ear into four parts-helix, antihelix, concha, and lobe-by means of a suitable grid of four straight lines. Although the division does not follow exact anatomical features, their edges do join anatomical points which are more easily identifiable. Measurement of certain areas of these parts can be combined to produce a code allowing personal identification. This method produces false-positive identifications of <0.2%. Last, the repeatability and reproducibility aspects of the method are tested.

摘要

尽管最近有几篇论文致力于确立耳部识别的有效性,但人体的这一部分在法医学中仍未得到充分利用。同一耳朵的两张图像很难完全重叠,然而,作为推断个体身份的可靠手段,耳部照片在文献中却未得到充分探讨。在本研究中,我们阐述了一种简单且可重复的方法,该方法借助由四条直线构成的合适网格,将耳部照片分为四个部分——耳轮、对耳轮、耳甲和耳垂。尽管这种划分并不完全遵循精确的解剖特征,但其边缘确实连接了更容易识别的解剖点。对这些部分的某些区域进行测量,并将测量结果组合起来生成一个代码,从而实现个人识别。该方法的误识率小于0.2%。最后,对该方法的重复性和再现性进行了测试。

相似文献

1
Ear identification: a pilot study.耳部识别:一项初步研究。
J Forensic Sci. 2011 Jul;56(4):1010-4. doi: 10.1111/j.1556-4029.2011.01778.x. Epub 2011 Apr 19.
2
Person identification in Ethnic Indian Goans using ear biometrics and neural networks.使用耳朵生物识别技术和神经网络进行印度果阿人的身份识别。
Forensic Sci Int. 2012 Nov 30;223(1-3):373.e1-13. doi: 10.1016/j.forsciint.2012.08.032. Epub 2012 Sep 11.
3
Pore sub-features reproducibility in direct microscopic and Livescan images--their reliability in personal identification.直接显微镜图像和活体扫描图像中毛孔子特征的再现性——它们在个人识别中的可靠性。
J Forensic Sci. 2010 Jul;55(4):970-5. doi: 10.1111/j.1556-4029.2010.01422.x. Epub 2010 May 4.
4
Assessment of some problematic factors in facial image identification using a 2D/3D superimposition technique.使用二维/三维叠加技术对面部图像识别中一些问题因素的评估。
Leg Med (Tokyo). 2013 Sep;15(5):244-8. doi: 10.1016/j.legalmed.2013.06.002. Epub 2013 Jul 22.
5
Personal identification by the comparison of facial profiles: testing the reliability of a high-resolution 3D-2D comparison model.通过面部轮廓比较进行个人识别:测试高分辨率3D-2D比较模型的可靠性。
J Forensic Sci. 2012 Jan;57(1):182-7. doi: 10.1111/j.1556-4029.2011.01944.x. Epub 2011 Nov 10.
6
A test of individuality of human external ear pattern: its application in the field of personal identification.
Forensic Sci Int. 2008 Jul 4;178(2-3):112-8. doi: 10.1016/j.forsciint.2008.02.009. Epub 2008 Apr 18.
7
Computer-aided dental identification: an objective method for assessment of radiographic image similarity.
J Forensic Sci. 2009 Jan;54(1):177-84. doi: 10.1111/j.1556-4029.2008.00921.x. Epub 2008 Nov 21.
8
Observations of external ear--an Indian study.外耳观察——一项印度研究。
Homo. 2009;60(5):461-72. doi: 10.1016/j.jchb.2009.08.002. Epub 2009 Sep 11.
9
The development of an automatic recognition system for earmark and earprint comparisons.自动识别耳标和耳纹比对系统的开发。
Forensic Sci Int. 2012 Oct 10;222(1-3):170-8. doi: 10.1016/j.forsciint.2012.05.021. Epub 2012 Jul 26.
10
Characteristic Features of Ear and Ear-Prints in Forensic Identification.耳朵和耳纹的法医学特征鉴定。
J Craniofac Surg. 2022 Jun 1;33(4):1093-1098. doi: 10.1097/SCS.0000000000008056. Epub 2021 Aug 3.

引用本文的文献

1
Validation of morphological ear classification devised by principal component analysis using three-dimensional images for human identification.基于主成分分析的三维图像的人类识别形态耳分类的验证。
PLoS One. 2024 Oct 21;19(10):e0306843. doi: 10.1371/journal.pone.0306843. eCollection 2024.
2
Evaluation of Morphological Variations of External Ear between the Nepalese and Indian Students of A Medical College.某医学院尼泊尔和印度学生外耳形态变异的评估
JNMA J Nepal Med Assoc. 2018 Nov-Dec;56(214):936-939. doi: 10.31729/jnma.3912.