法医笔迹二维/三维传感的生物特征研究

T. Scheidat, Michael Kalbitz, C. Vielhauer
{"title":"法医笔迹二维/三维传感的生物特征研究","authors":"T. Scheidat, Michael Kalbitz, C. Vielhauer","doi":"10.1109/SPLIM.2016.7528410","DOIUrl":null,"url":null,"abstract":"User authentication based on biometric information is an important part of computer security. A biometric system utilizes physiological or behavioural characteristics of a human being in order to confirm or to determine its identity. Handwriting as biometric modality can be based on the study of the writing result as well as on the observation of the writing process. While conventional sensors for biometric handwriting acquisition are for example flatbed scanners, graphics tablets or special signature tablets, recently the application of high-resolution, contact-less 2D/3D sensors for forensic handwriting analysis has been suggested. Since biometric and forensic handwriting focus at identification of writers, we carry out an initial study in this paper on feasibility of writing pressure based features of a contact-less 2D/3D optical sensor, providing high resolution images of intensity and topography in the nanometer range. The concept is based on dual-sensor acquisition (biometric and forensic) of writing traces, the adaption of biometric pressure based features towards 3D impressioning in the forensic data and a comparative experimental evaluation of both in terms of biometric verification performance. Therefore, in the first step handwriting probes of five persons are prepared on paper and simultaneously acquired by a biometric signature tablet. In the second step each probe is scanned by the 2D/3D optical sensor to digitize it into a topographical representation. This information is used to carry out a biometric authentication and its results are compared to those based on the signature tablet data. Our first studies show similar verification results for both.","PeriodicalId":297318,"journal":{"name":"2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Towards biometrie features for 2D/3D sensoring of forensic handwriting\",\"authors\":\"T. Scheidat, Michael Kalbitz, C. Vielhauer\",\"doi\":\"10.1109/SPLIM.2016.7528410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"User authentication based on biometric information is an important part of computer security. A biometric system utilizes physiological or behavioural characteristics of a human being in order to confirm or to determine its identity. Handwriting as biometric modality can be based on the study of the writing result as well as on the observation of the writing process. While conventional sensors for biometric handwriting acquisition are for example flatbed scanners, graphics tablets or special signature tablets, recently the application of high-resolution, contact-less 2D/3D sensors for forensic handwriting analysis has been suggested. Since biometric and forensic handwriting focus at identification of writers, we carry out an initial study in this paper on feasibility of writing pressure based features of a contact-less 2D/3D optical sensor, providing high resolution images of intensity and topography in the nanometer range. The concept is based on dual-sensor acquisition (biometric and forensic) of writing traces, the adaption of biometric pressure based features towards 3D impressioning in the forensic data and a comparative experimental evaluation of both in terms of biometric verification performance. Therefore, in the first step handwriting probes of five persons are prepared on paper and simultaneously acquired by a biometric signature tablet. In the second step each probe is scanned by the 2D/3D optical sensor to digitize it into a topographical representation. This information is used to carry out a biometric authentication and its results are compared to those based on the signature tablet data. Our first studies show similar verification results for both.\",\"PeriodicalId\":297318,\"journal\":{\"name\":\"2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPLIM.2016.7528410\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPLIM.2016.7528410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

基于生物特征信息的用户认证是计算机安全的重要组成部分。生物识别系统利用人的生理或行为特征来确认或确定其身份。笔迹作为一种生物识别方式,既可以基于对书写结果的研究,也可以基于对书写过程的观察。虽然传统的生物识别笔迹采集传感器是平板扫描仪、图形平板或特殊签名平板,但最近有人建议使用高分辨率、非接触式2D/3D传感器进行法医笔迹分析。由于生物识别和法医笔迹的重点是识别书写者,我们在本文中对基于书写压力特征的非接触式2D/3D光学传感器的可行性进行了初步研究,提供纳米范围内的高分辨率强度和地形图像。该概念基于书写痕迹的双传感器采集(生物识别和法医),基于生物识别压力的特征适应法医数据中的3D印象,并在生物识别验证性能方面对两者进行比较实验评估。因此,在第一步中,将五个人的手写探针制备在纸上,并通过生物特征签名片同时获取。在第二步中,每个探针由2D/3D光学传感器扫描,将其数字化为地形表示。该信息用于进行生物识别认证,并将其结果与基于签名平板数据的结果进行比较。我们的初步研究表明,两者的验证结果相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards biometrie features for 2D/3D sensoring of forensic handwriting
User authentication based on biometric information is an important part of computer security. A biometric system utilizes physiological or behavioural characteristics of a human being in order to confirm or to determine its identity. Handwriting as biometric modality can be based on the study of the writing result as well as on the observation of the writing process. While conventional sensors for biometric handwriting acquisition are for example flatbed scanners, graphics tablets or special signature tablets, recently the application of high-resolution, contact-less 2D/3D sensors for forensic handwriting analysis has been suggested. Since biometric and forensic handwriting focus at identification of writers, we carry out an initial study in this paper on feasibility of writing pressure based features of a contact-less 2D/3D optical sensor, providing high resolution images of intensity and topography in the nanometer range. The concept is based on dual-sensor acquisition (biometric and forensic) of writing traces, the adaption of biometric pressure based features towards 3D impressioning in the forensic data and a comparative experimental evaluation of both in terms of biometric verification performance. Therefore, in the first step handwriting probes of five persons are prepared on paper and simultaneously acquired by a biometric signature tablet. In the second step each probe is scanned by the 2D/3D optical sensor to digitize it into a topographical representation. This information is used to carry out a biometric authentication and its results are compared to those based on the signature tablet data. Our first studies show similar verification results for both.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信