2019 International Conference on Biometrics (ICB)最新文献_第8页

Obtaining Stable Iris Codes Exploiting Low-Rank Tensor Space and Spatial Structure Aware Refinement for Better Iris Recognition 利用低秩张量空间和空间结构感知改进获得稳定的虹膜编码，提高虹膜识别效果

2019 International Conference on Biometrics (ICB) Pub Date : 2019-06-01 DOI: 10.1109/ICB45273.2019.8987266

K. B. Raja, Ramachandra Raghavendra, C. Busch

{"title":"Obtaining Stable Iris Codes Exploiting Low-Rank Tensor Space and Spatial Structure Aware Refinement for Better Iris Recognition","authors":"K. B. Raja, Ramachandra Raghavendra, C. Busch","doi":"10.1109/ICB45273.2019.8987266","DOIUrl":"https://doi.org/10.1109/ICB45273.2019.8987266","url":null,"abstract":"The strength of iris recognition in terms of optimal biometric performance has been challenged by inevitable operational conditions in unconstrained scenarios. In this work we present a new approach for extracting stable iris weight maps to account for the noisy iris representation as a result of capture conditions and ineluctable segmentation errors. Traditional approaches to extract stable bits often ignore inter-code relations under the presence of multiple enrolment samples. Unlike previous works, we formulate the stable code extraction using tensor representation to exactly recover the low-rank non-noisy iris information using the multiple enrolment samples. Further, the proposed approach produces stable class specific (user specific) iris weight maps by eliminating the error bits due to sub-optimal segmentation or pupil dilation effects using spatial correspondence in a patch-wise manner. Through the set of experiments on two publicly available iris databases acquired under semi-constrained and unconstrained setting, we demonstrate the superiority for identification and verification performance over current state-ofthe-art algorithms. Rank−1 identification rate on CASIAv4 distance database is achieved at 93.3% and a verification accuracy of Genuine Match Rate (GMR) of 80% at False Match Rate(FMR) of 0.0001 indicating the applicability of proposed approach in operational scenarios.","PeriodicalId":430846,"journal":{"name":"2019 International Conference on Biometrics (ICB)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132184107","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: 3

A Feasibility Study on Utilizing Toe Prints for Biometric Verification of Children 利用足趾指纹进行儿童生物特征验证的可行性研究

2019 International Conference on Biometrics (ICB) Pub Date : 2019-06-01 DOI: 10.1109/ICB45273.2019.8987273

David Yambay, Morgan Johnson, Keivan Bahmani, S. Schuckers

{"title":"A Feasibility Study on Utilizing Toe Prints for Biometric Verification of Children","authors":"David Yambay, Morgan Johnson, Keivan Bahmani, S. Schuckers","doi":"10.1109/ICB45273.2019.8987273","DOIUrl":"https://doi.org/10.1109/ICB45273.2019.8987273","url":null,"abstract":"Biometric recognition allows a person to be identified by comparing feature vectors derived from a person’s physiological characteristics. Recognition is dependent on the permanence of the biometric characteristics over long periods of time. There was been limited work evaluating the footprint as a potential biometric. This paper presents a longitudinal study of toe prints in children to understand if this biometric modality could be used reliably as a child grows. Data was collected and analyzed in children ages 4-13 years over five visits, spaced approximately six months apart, giving two years of data. This is the first footprint collection spanning this broad age range in children. Footprints were segmented into separate toe prints to examine whether current fingerprint recognition technology can provide accurate results on toe prints. Data was analyzed using two available fingerprint matchers, Verifinger and Bozorth3 from NIST Biometric Image Software (NBIS). Verifinger provides the best verification match scores using the toe prints, especially when using the hallux, the large toe. The hallux toe on Verifinger provides verification rates of 0% FAR and FRR for images collected on the same day and a FRR of 6.44% at a 1% FAR after two years have passed between collections. Additional longitudinal data is being collected to further these results.","PeriodicalId":430846,"journal":{"name":"2019 International Conference on Biometrics (ICB)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130131627","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: 5

In Defense of Color Names for Small-Scale Person Re-Identification 小尺度人物再识别中的颜色名称辩护

2019 International Conference on Biometrics (ICB) Pub Date : 2019-06-01 DOI: 10.1109/ICB45273.2019.8987338

Yang Yang, Zhen Lei, Jinqiao Wang, S. Li

引用次数: 5

Sclera Segmentation Benchmarking Competition in Cross-resolution Environment 交叉分辨率环境下的巩膜分割基准竞争

2019 International Conference on Biometrics (ICB) Pub Date : 2019-06-01 DOI: 10.1109/ICB45273.2019.8987414

Abhijit Das, U. Pal, M. Blumenstein, Caiyong Wang, Yong He, Yuhao Zhu, Zhenan Sun

{"title":"Sclera Segmentation Benchmarking Competition in Cross-resolution Environment","authors":"Abhijit Das, U. Pal, M. Blumenstein, Caiyong Wang, Yong He, Yuhao Zhu, Zhenan Sun","doi":"10.1109/ICB45273.2019.8987414","DOIUrl":"https://doi.org/10.1109/ICB45273.2019.8987414","url":null,"abstract":"This paper summarizes the results of the Sclera Segmentation Benchmarking Competition (SSBC 2019). It was organized in the context of the 12th IAPR International Conference on Biometrics (ICB 2019). The aim of this competition was to record the developments on sclera segmentation in the cross-resolution environment (sclera trait captured using multiple acquiring sensors with different image resolutions). Additionally, the competition also aimed to gain the attention of researchers on this subject of research.For the purpose of benchmarking, we have employed two datasets of sclera images captured using different sensors. The first dataset was collected using a DSLR camera and the second one was collected using a mobile phone camera. The first dataset is the Multi-Angle Sclera Dataset (MASD version 1). The second dataset is the Mobile Sclera Dataset (MSD), and in this dataset, images were captured using .a mobile phone rear camera of 8-megapixels. Baseline manual segmentation masks of the sclera images from both the datasets were developed.Precision and recall-based measures were employed to evaluate the effectiveness and ranking of the submitted segmentation techniques. Four algorithms were submitted to address the segmentation task. In this paper we analyzed the results produced by these algorithms/systems, and we have defined a way forward for this problem. Both the datasets along with some of the accompanying ground truth/baseline masks will be freely available for research purposes.","PeriodicalId":430846,"journal":{"name":"2019 International Conference on Biometrics (ICB)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114905458","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: 14

The Nipple-Areola Complex for Criminal Identification 用于刑事鉴定的乳头-乳晕复合体

2019 International Conference on Biometrics (ICB) Pub Date : 2019-05-28 DOI: 10.1109/ICB45273.2019.8987341

Wojciech Michal Matkowski, Krzysztof Matkowski, A. Kong, C. Hall

引用次数: 0

Some Research Problems in Biometrics: The Future Beckons 生物识别的几个研究问题:未来的呼唤

2019 International Conference on Biometrics (ICB) Pub Date : 2019-05-12 DOI: 10.1109/ICB45273.2019.8987307

A. Ross, Sudipta Banerjee, Cunjian Chen, Anurag Chowdhury, Vahid Mirjalili, Renu Sharma, Thomas Swearingen, Shivangi Yadav

引用次数: 42

LivDet in Action - Fingerprint Liveness Detection Competition 2019 LivDet在行动-指纹活性检测大赛2019

2019 International Conference on Biometrics (ICB) Pub Date : 2019-05-02 DOI: 10.1109/ICB45273.2019.8987281

G. Orrú, Roberto Casula, Pierluigi Tuveri, C. Bazzoni, Giovanna Dessalvi, Marco Micheletto, Luca Ghiani, G. Marcialis

引用次数: 50

Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features 基于二值统计特征的虹膜纹理图像性别分类

2019 International Conference on Biometrics (ICB) Pub Date : 2019-05-01 DOI: 10.1109/ICB45273.2019.8987245

Juan E. Tapia, Claudia Arellano

引用次数: 5

Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis 基于自注意引导合成的极化热对可见人脸的验证

2019 International Conference on Biometrics (ICB) Pub Date : 2019-04-15 DOI: 10.1109/ICB45273.2019.8987329

Xing Di, B. Riggan, Shuowen Hu, Nathan J. Short, Vishal M. Patel

{"title":"Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis","authors":"Xing Di, B. Riggan, Shuowen Hu, Nathan J. Short, Vishal M. Patel","doi":"10.1109/ICB45273.2019.8987329","DOIUrl":"https://doi.org/10.1109/ICB45273.2019.8987329","url":null,"abstract":"Polarimetric thermal to visible face verification entails matching two images that contain significant domain differences. Several recent approaches have attempted to synthesize visible faces from thermal images for cross-modal matching. In this paper, we take a different approach in which rather than focusing only on synthesizing visible faces from thermal faces, we also propose to synthesize thermal faces from visible faces. Our intuition is based on the fact that thermal images also contain some discriminative information about the person for verification. Deep features from a pre-trained Convolutional Neural Network (CNN) are extracted from the original as well as the synthesized images. These features are then fused to generate a template which is then used for verification. The proposed synthesis network is based on the self-attention generative adversarial network (SAGAN) which essentially allows efficient attention-guided image synthesis. Extensive experiments on the ARL polarimetric thermal face dataset demonstrate that the proposed method achieves state-of-the-art performance.","PeriodicalId":430846,"journal":{"name":"2019 International Conference on Biometrics (ICB)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126916588","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: 33

Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal 广义表示攻击检测:一种人脸防欺骗评估方案

2019 International Conference on Biometrics (ICB) Pub Date : 2019-04-12 DOI: 10.1109/ICB45273.2019.8987290

Artur Costa-Pazo, David Jiménez-Cabello, Esteban Vázquez-Fernández, J. Alba-Castro, R. López-Sastre

引用次数: 16