2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference最新文献

3D Touchless Fingerprints: Compatibility with Legacy Rolled Images 3D非触摸指纹:与传统滚动图像的兼容性

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341621

Yi Chen, Geppy Parziale, Eva Diaz-Santana, Anil K. Jain

引用次数: 87

Measuring Biometric Sample Quality in Terms of Biometric Information 基于生物特征信息的生物特征样品质量测量

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341618

R. Youmaran, Andy Adler

{"title":"Measuring Biometric Sample Quality in Terms of Biometric Information","authors":"R. Youmaran, Andy Adler","doi":"10.1109/BCC.2006.4341618","DOIUrl":"https://doi.org/10.1109/BCC.2006.4341618","url":null,"abstract":"This paper develops a new approach to understand and measure variations in biometric sample quality. We begin with the intuition that degradations to a biometric sample will reduce the amount of identifiable information available. In order to measure the amount of identifiable information, we define biometric information as the decrease in uncertainty about the identity of a person due to a set of biometric measurements. We then show that the biometric information for a person may be calculated by the relative entropy D(p||q) between the population feature distribution q and the person's feature distribution p. The biometric information for a system is the mean D(p||q) for all persons in the population. In order to practically measure D(p||q) with limited data samples, we introduce an algorithm which regularizes a Gaussian model of the feature covariances. An example of this method is shown for PCA, Fisher linear discriminant (FLD) and ICA based face recognition, with biometric information calculated to be 45.0 bits (PCA), 37.0 bits (FLD), 39.0 bits (ICA) and 55.6 bits (fusion of PCA and FLD features). Based on this definition of biometric information, we simulate degradations of biometric images and calculate the resulting decrease in biometric information. Results show a quasi-linear decrease for small levels of blur with an asymptotic behavior at larger blur.","PeriodicalId":226152,"journal":{"name":"2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129789977","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: 23

A Protection Scheme for MOC-Enabled Smart Cards 支持moc的智能卡的保护方案

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341632

C. Barral, S. Vaudenay

引用次数: 6

Identification Model for Classifier Combinations 分类器组合的识别模型

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341634

S. Tulyakov, V. Govindaraju

引用次数: 5

Attestation-Based Remote Biometric Authentication 基于认证的远程生物识别认证

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341619

T. Polon, S. Sander

引用次数: 3

Quality Assessment of Facial Images 面部图像的质量评估

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341617

R. Hsu, J. Shah, B. Martin

{"title":"Quality Assessment of Facial Images","authors":"R. Hsu, J. Shah, B. Martin","doi":"10.1109/BCC.2006.4341617","DOIUrl":"https://doi.org/10.1109/BCC.2006.4341617","url":null,"abstract":"Quality assessment of facial images differs from the traditional quality assessment of image and video signals with regards to its multiple goals such as to ensure its fidelity to the human visual system (HVS) model, to predict matching performance, to generate feedback on image acquisition, to guard the enrollment process, and to provide a weight for merging multimodal biometrics. In this paper, we present a quality assessment framework that complies with the requirements of ISO/IEC 19794-5 for facial biometrics and additionally ensures optimal recognition performance. This framework employs a novel classification-based score normalization process for various quality metrics and includes techniques to fuse those individual quality scores into an overall quality score which is shown to be correlated to the genuine match scores of the Facelt face recognition engine. We confirm the effectiveness of this overall quality score at satisfying multiple goals by first parameterizing ROC curves with average database quality to show the predictive nature of the metric and secondly by showing the consistency between this overall quality score and human perception of image quality.","PeriodicalId":226152,"journal":{"name":"2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134410560","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: 65

Using Biometric Verification to Estimate Identification Performance 利用生物特征验证估计识别性能

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341620

J. Hube

引用次数: 12

Gait Recognition Through MPCA Plus LDA 基于MPCA和LDA的步态识别

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341613

Haiping Lu, K. Plataniotis, A. Venetsanopoulos

引用次数: 17

ECG Biometric Recognition Without Fiducial Detection 无基准检测的心电生物特征识别

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341628

D. Hatzinakos

引用次数: 279

Automatic Tooth Segmentation Using Active Contour Without Edges 无边缘活动轮廓的自动牙齿分割

2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference Pub Date : 2006-09-01 DOI: 10.1109/BCC.2006.4341636

S. Shah, A. Abaza, A. Ross, H. Ammar

引用次数: 105