2015 International Conference on Biometrics (ICB)最新文献_第7页

Latent fingerprints segmentation based on Rearranged Fourier Subbands 基于重排傅立叶子带的潜在指纹分割

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139063

Phumpat Ruangsakul, V. Areekul, Krisada Phromsuthirak, Arucha Rungchokanun

引用次数: 8

Touchless multiview fingerprint quality assessment: rotational bad-positioning detection using Artificial Neural Networks 非接触式多视角指纹质量评估:基于人工神经网络的旋转不良定位检测

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139101

Caue Zaghetto, A. Zaghetto, F. Vidal, Luiz H. M. Aguiar

引用次数: 4

Annotating Unconstrained Face Imagery: A scalable approach 标注无约束的人脸图像:一种可扩展的方法

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139094

Emma Taborsky, Kristen C. Allen, Austin Blanton, Anil K. Jain, Brendan Klare

{"title":"Annotating Unconstrained Face Imagery: A scalable approach","authors":"Emma Taborsky, Kristen C. Allen, Austin Blanton, Anil K. Jain, Brendan Klare","doi":"10.1109/ICB.2015.7139094","DOIUrl":"https://doi.org/10.1109/ICB.2015.7139094","url":null,"abstract":"As unconstrained face recognition datasets progress from containing faces that can be automatically detected by commodity face detectors to face imagery with full pose variations that must instead be manually localized, a significant amount of annotation effort is required for developing benchmark datasets. In this work we describe a systematic approach for annotating fully unconstrained face imagery using crowdsourced labor. For such data preparation, a cascade of crowdsourced tasks are performed, which begins with bounding box annotations on all faces contained in images and videos, followed by identification of the labelled person of interest in such imagery, and, finally, landmark annotation of key facial fiducial points. In order to allow such annotations to scale to large volumes of imagery, a software system architecture is provided which achieves a sustained rate of 30,000 annotations per hour (or 500 manual annotations per minute). While previous crowdsourcing guidance described in the literature generally involved multiple choice questions or text input, our tasks required annotators to provide geometric primitives (rectangles and points) in images. As such, algorithms are provided for combining multiple annotations of an image into a single result, and automatically measuring the quality of a given annotation. Finally, other guidance is provided for improving the accuracy and scalability of crowdsourced image annotation for face detection and recognition.","PeriodicalId":237372,"journal":{"name":"2015 International Conference on Biometrics (ICB)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131483499","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: 9

One-handed Keystroke Biometric Identification Competition 单手击键生物识别大赛

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139076

John V. Monaco, G. Perez, C. Tappert, Patrick A. H. Bours, Soumik Mondal, S. Rajkumar, A. Morales, Julian Fierrez, J. Ortega-Garcia

引用次数: 22

Security analysis of Bloom filter-based iris biometric template protection 基于Bloom过滤器的虹膜生物识别模板防护安全性分析

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139069

J. Bringer, Constance Morel, C. Rathgeb

引用次数: 48

Audio-visual twins database 视听双胞胎数据库

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139115

Jing Li, Li Zhang, Dong Guo, Shaojie Zhuo, T. Sim

引用次数: 5

Grid structured morphological pattern spectrum for off-line signature verification 网格结构形态图谱离线签名验证

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139106

B H Shekar, R. Bharathi, J. Kittler, Y. Vizilter, Leonid Mestestskiy

引用次数: 17

3D face recognition with asymptotic cones based principal curvatures 基于渐近锥体主曲率的三维人脸识别

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139111

Yinhang Tang, Xiang Sun, Di Huang, J. Morvan, Yunhong Wang, Liming Chen

{"title":"3D face recognition with asymptotic cones based principal curvatures","authors":"Yinhang Tang, Xiang Sun, Di Huang, J. Morvan, Yunhong Wang, Liming Chen","doi":"10.1109/ICB.2015.7139111","DOIUrl":"https://doi.org/10.1109/ICB.2015.7139111","url":null,"abstract":"The classical curvatures of smooth surfaces (Gaussian, mean and principal curvatures) have been widely used in 3D face recognition (FR). However, facial surfaces resulting from 3D sensors are discrete meshes. In this paper, we present a general framework and define three principal curvatures on discrete surfaces for the purpose of 3D FR. These principal curvatures are derived from the construction of asymptotic cones associated to any Borel subset of the discrete surface. They describe the local geometry of the underlying mesh. First two of them correspond to the classical principal curvatures in the smooth case. We isolate the third principal curvature that carries out meaningful geometric shape information. The three principal curvatures in different Borel subsets scales give multi-scale local facial surface descriptors. We combine the proposed principal curvatures with the LNP-based facial descriptor and SRC for recognition. The identification and verification experiments demonstrate the practicability and accuracy of the third principal curvature and the fusion of multi-scale Borel subset descriptors on 3D face from FRGC v2.0.","PeriodicalId":237372,"journal":{"name":"2015 International Conference on Biometrics (ICB)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133856571","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: 16

Single sensor-based multi-quality multi-modal biometric score database and its performance evaluation 基于单传感器的多质量多模态生物特征评分数据库及其性能评价

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139068

Takuhiro Kimura, Yasushi Makihara, D. Muramatsu, Y. Yagi

{"title":"Single sensor-based multi-quality multi-modal biometric score database and its performance evaluation","authors":"Takuhiro Kimura, Yasushi Makihara, D. Muramatsu, Y. Yagi","doi":"10.1109/ICB.2015.7139068","DOIUrl":"https://doi.org/10.1109/ICB.2015.7139068","url":null,"abstract":"We constructed a large-scale multi-quality multi-modal biometric score database to advance studies on quality-dependent score-level fusion. In particular, we focused on single sensor-based multi-modal biometrics because of their advantages of simple system construction, low cost, and wide availability in real situations such as CCTV footage-based criminal investigation, unlike conventional individual sensor-based multi-modal biometrics that require multiple sensors. As for the modalities of multiple biometrics, we extracted gait, head, and the height biometrics from a single walking image sequence, and considered spatial resolution (SR) and temporal resolution (TR) as quality measures that simultaneously affect the scores of individual modalities. We then computed biometric scores of 1912 subjects under a total of 130 combinations of the quality measures, i.e., 13 SRs and 10 TRs, and constructed a very large-scale biometric score database composed of 1,814,488 genuine scores and 3,467,486,568 imposter scores. We finally provide performance evaluation results both for quality-independent and quality-dependent score-level fusion approaches using two protocols that will be beneficial to the score-level fusion research community.","PeriodicalId":237372,"journal":{"name":"2015 International Conference on Biometrics (ICB)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133581502","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: 8

k-Nearest Neighborhood Structure (k-NNS) based alignment-free method for fingerprint template protection 基于k-最近邻结构(k-NNS)的无对齐指纹模板保护方法

2015 International Conference on Biometrics (ICB) Pub Date : 2015-05-19 DOI: 10.1109/ICB.2015.7139100

M. Sandhya, M. Prasad

引用次数: 57