2013 International Workshop on Biometrics and Forensics (IWBF)最新文献_第2页

Palmprint image processing with Non-Halo Complex Matched Filters for forensic data analysis 掌纹图像处理与非光晕复杂匹配滤波器法医数据分析

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547317

Mihails Pudzs, Rihards Fuksis, M. Greitans

引用次数: 4

Robust gait recognition from extremely low frame-rate videos 从极低帧率视频稳健的步态识别

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547319

Yu Guan, Chang-Tsun Li, S. D. Choudhury

引用次数: 22

Correlation of iris biometrics and DNA 虹膜生物识别技术与 DNA 的相关性

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547325

S. Harder, L. Clemmensen, Anders L. Dahl, J. D. Andersen, P. Johansen, Susanne R. Christoffersen, N. Morling, C. Børsting, R. Paulsen

{"title":"Correlation of iris biometrics and DNA","authors":"S. Harder, L. Clemmensen, Anders L. Dahl, J. D. Andersen, P. Johansen, Susanne R. Christoffersen, N. Morling, C. Børsting, R. Paulsen","doi":"10.1109/IWBF.2013.6547325","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547325","url":null,"abstract":"The presented work concerns prediction of complex human phenotypes from genotypes. We were interested in correlating iris color and texture with DNA. Our data consist of 212 eye images along with DNA: 32 single-nucleotide polymorphisms (SNPs). We used two types of biometrics to describe the eye images: One for iris color and one for iris texture. Both biometrics were high dimensional and a sparse principle component analysis (SPCA) reduced the dimensions and resulted in a representation of data with good interpretability. The correlations between the sparse principal components (SPCs) and the 32 SNPs were found using a canonical correlation analysis (CCA). The result was a single significant canonical correlation (CC) for both biometrics. Each CC comprised two correlated canonical variables, consisting of a linear combination of SPCs and a linear combination of SNPs, respectively. The significant canonical variables for color and texture were primarily explained by the first SPC (SPC1). Therefore, we made a visual inspection of the first SPCs. The color based SPC1 explained a blue to brown variation in iris color and the texture based SPC1 gave a general explanation of iris texture. The SNPs (rs12896399, rs3733542, rs6475555, rs12913832) and (rs12896399, rs3733542, rs12913832) had the highest correlation to the canonical variable for color and texture, respectively. Three of the most contributing SNPs were the same for both biometrics, revealing a covariance between iris color and texture.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"79 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130983267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Semantic description in stereo video content for surveillance applications 用于监控的立体视频内容的语义描述

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547313

Nikos Papanikoloudis, Sotirios Delis, N. Nikolaidis, I. Pitas

引用次数: 5

Separation of contactless captured high-resolution overlapped latent fingerprints: Parameter optimisation and evaluation 分离非接触式捕获的高分辨率重叠潜在指纹:参数优化和评估

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547316

Kun Qian, M. Schott, J. Dittmann

{"title":"Separation of contactless captured high-resolution overlapped latent fingerprints: Parameter optimisation and evaluation","authors":"Kun Qian, M. Schott, J. Dittmann","doi":"10.1109/IWBF.2013.6547316","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547316","url":null,"abstract":"Although overlapped latent fingerprints often occur in crime scenes, they usually can not directly be used as forensic evidence as it is difficult for the state-of-the-art fingerprint matchers to separate and match them. There exist separation techniques based on chemical imaging, but they require invasive fingerprint acquisition (e.g. applying chemicals) methods which not only compromise the integrity of potential evidence but also eliminate the possibility of analysing the fingerprints using other means (e.g. spectroscopy). Addressing this issue, in this work we use scanned samples of two overlapped latent fingerprints acquired noninvasively by a Chromatic White Light (CWL) sensor. To properly apply our previous separation approach adapted from Chen et al. on those samples, in this paper we conduct a thorough parameter optimisation. A test set of 20 authentic overlapped fingerprints is used. With a cross examination with 4 templates of 2 different kinds using NIST Biometric Image Software (NBIS), we obtain 160 samples from the matching test, which shows a clear increasing number of positive matching after the separation of the fingerprints and leads to an overall Equal Error Rate (EER) of 8.3%, which is lower than the results from Chen et al. where simulated samples are used.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133815262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Liveness detection based on 3D face shape analysis 基于三维脸型分析的活体检测

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547310

A. Lagorio, M. Tistarelli, Marinella Cadoni, C. Fookes, S. Sridharan

引用次数: 91

Targeted biometric impersonation 目标生物识别模拟

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547323

John D. Bustard, J. Carter, M. Nixon

{"title":"Targeted biometric impersonation","authors":"John D. Bustard, J. Carter, M. Nixon","doi":"10.1109/IWBF.2013.6547323","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547323","url":null,"abstract":"When applying biometric algorithms to forensic verification, false acceptance and false rejection can mean a failure to identify a criminal, or worse, lead to the prosecution of individuals for crimes they did not commit. It is therefore critical that biometric evaluations be performed as accurately as possible to determine their legitimacy as a forensic tool. This paper argues that, for forensic verification scenarios, traditional performance measures are insufficiently accurate. This inaccuracy occurs because existing verification evaluations implicitly assume that an imposter claiming a false identity would claim a random identity rather than consciously selecting a target to impersonate. In addition to describing this new vulnerability, the paper describes a novel Targeted FAR metric that combines the traditional False Acceptance Rate (FAR) measure with a term that indicates how performance degrades with the number of potential targets. The paper includes an evaluation of the effects of targeted impersonation on an existing academic face verification system. This evaluation reveals that even with a relatively small number of targets false acceptance rates can increase significantly, making the analysed biometric systems unreliable.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129369691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Telephone handset identification using sparse representations of spectral feature sketches 利用频谱特征草图的稀疏表示来识别电话听筒

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547326

Constantine Kotropoulos

引用次数: 21

Face locations suitable drunk persons identification 人脸位置适合醉酒人士识别

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547311

G. Koukiou, V. Anastassopoulos

引用次数: 7

Facial image clustering in single channel and stereo video content 单通道和立体视频内容的人脸图像聚类

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547312

G. Orfanidis, N. Nikolaidis, I. Pitas

引用次数: 2