2018 International Workshop on Biometrics and Forensics (IWBF)最新文献

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2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-08-01 DOI: 10.1109/iisr.2018.8535699

E. S. Nugraha

引用次数: 0

Unconstrained Biometric Recognition based on Thermal Hand Images 基于手热图像的无约束生物特征识别

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401567

Ewelina Bartuzi, Katarzyna Roszczewska, A. Czajka, A. Pacut

{"title":"Unconstrained Biometric Recognition based on Thermal Hand Images","authors":"Ewelina Bartuzi, Katarzyna Roszczewska, A. Czajka, A. Pacut","doi":"10.1109/IWBF.2018.8401567","DOIUrl":"https://doi.org/10.1109/IWBF.2018.8401567","url":null,"abstract":"This paper proposes a biometric recognition method based on thermal images of inner part of the hand, and a database of 21,000 thermal images of both hands acquired by a specialized thermal camera from 70 subjects. The data for each subject was acquired in three different sessions, with two first sessions organized on the same day, and the third session organized approximately two weeks apart. This allowed to analyze the stability of hand temperature in both short-term and long-term horizons. No hand stabilization or positioning devices were used during acquisition, making this setup closer to real-world, unconstrained applications. This required making our method translation-, rotationand scale-invariant. Two approaches for feature selection and classification are proposed and compared: feature engineering deploying texture descriptors such as Binarized Statistical Image Features (BSIF) and Gabor wavelets, and feature learning based on convolutional neural networks (CNN) trained in different environmental conditions. For within-session scenario we achieved 0.36% and 0.00% of equal error rate (EER) in the first and the second approach, respectively. Between-session EER stands at 27.98% for the first approach and 17.17% for the second one. These results allow for estimation of a short-term stability of hand thermal information. This paper presents the first known to us database of hand thermal images and the first biometric system based solely on hand thermal maps acquired by thermal sensor in unconstrained scenario.","PeriodicalId":259849,"journal":{"name":"2018 International Workshop on Biometrics and Forensics (IWBF)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115278709","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

Contactless 3D fingerprint identification without 3D reconstruction 无三维重建的非接触式三维指纹识别

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401566

Qian Zheng, Ajay Kumar, Gang Pan

引用次数: 8

Detection of adaptive histogram equalization robust against JPEG compression 抗JPEG压缩的自适应直方图均衡化检测

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401564

M. Barni, Ehsan Nowroozi, B. Tondi

引用次数: 13

Learning structured sparse representation for single sample face recognition 学习结构化稀疏表示用于单样本人脸识别

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401561

Fan Liu, Feng Xu, Yuhua Ding, Sai Yang

{"title":"Learning structured sparse representation for single sample face recognition","authors":"Fan Liu, Feng Xu, Yuhua Ding, Sai Yang","doi":"10.1109/IWBF.2018.8401561","DOIUrl":"https://doi.org/10.1109/IWBF.2018.8401561","url":null,"abstract":"In this paper, we propose a robust sparse representation method to address single sample per person problem by simultaneously exploiting the local and global structure of data. Considering the fact that most sparse representation methods use each testing sample separately and ignore the prior information from testing data, we seek the sparse representation of all testing samples together to capture the global structure of data. Moreover, we adopt an intra-class variance dictionary to describe various facial changes that can not be captured by the single training sample. To make use of local structure, we divide each face image into some blocks consisting of overlapped patches and assume the overlapped patches in a local block are different samples from the same class, which makes their coefficients have row-wise sparse structure. Finally, by imposing group sparsity constraint and sparsity constraint respectively on the coefficients corresponding to the training patches dictionary and variance dictionary, we obtain more discriminative sparse representation, whose coefficients can be directly utilized for classification. Experimental results on three public databases not only demonstrate effectiveness of the proposed approach but also show robustness to various facial variation.","PeriodicalId":259849,"journal":{"name":"2018 International Workshop on Biometrics and Forensics (IWBF)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125690955","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: 0

Transgender face recognition with off-the-shelf pre-trained CNNs: A comprehensive study 用现成的预训练cnn进行跨性别人脸识别:一项全面的研究

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401557

Ramachandra Raghavendra, S. Venkatesh, K. Raja, C. Busch

引用次数: 1

Efficient iris sample data protection using selective JPEG2000 encryption of normalised texture 采用规范化纹理的选择性JPEG2000加密，有效保护虹膜样本数据

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401552

Martin Rieger, Jutta Hämmerle-Uhl, A. Uhl

引用次数: 6

Using a generic model for codebook-based gait recognition algorithms 使用通用模型进行基于码本的步态识别算法

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401551

M. H. Khan, M. S. Farid, M. Grzegorzek

{"title":"Using a generic model for codebook-based gait recognition algorithms","authors":"M. H. Khan, M. S. Farid, M. Grzegorzek","doi":"10.1109/IWBF.2018.8401551","DOIUrl":"https://doi.org/10.1109/IWBF.2018.8401551","url":null,"abstract":"Gait has emerged as a distinguishable human biological trait. It refers to the walking style of an individual and is considered an important biometric feature for person identification. Codebook based gait recognition algorithms have demonstrated excellent performance by achieving high recognition rates. However, such methods construct a codebook for each database or scenario. In this paper, we investigate the idea of using a generic codebook for gait recognition. The proposed codebook is built by using spatiotemporal characteristics of gait sequences from a large diverse synthetic gait database. We also propose a gait recognition algorithm based on this generic codebook. The advantages of the proposed algorithm over the existing methods include its independency from generating a codebook for each database, rather the proposed generic codebook can be used to encode any gait scenario. Moreover, the proposed algorithm is model free and does not require human body segmentation or modeling. The performance of the proposed generic codebook-based gait recognition algorithm is evaluated on two large gait databases TUM GAID and CMU MoBo, and recognition rate reveals the effectiveness of the proposed algorithm.","PeriodicalId":259849,"journal":{"name":"2018 International Workshop on Biometrics and Forensics (IWBF)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126996624","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

Have you permission to answer this phone? 你允许我接这个电话吗?

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401563

Silvio Barra, G. Fenu, M. De Marsico, Aniello Castiglione, M. Nappi

引用次数: 10

Solving the face growth problem in the biometrie face recognition using Photo-Anthropometric ratios by iris normalization 利用虹膜归一化方法解决生物特征人脸识别中的人脸生长问题

2018 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2018-06-01 DOI: 10.1109/IWBF.2018.8401553

Gustavo Carneiro Bicalho, M. C. Alves, L. Porto, C. Machado, F. Vidal

引用次数: 3