2017 5th International Workshop on Biometrics and Forensics (IWBF)最新文献_第2页

Combining multiple iris texture features for unconstrained recognition in visible wavelengths 结合多个虹膜纹理特征，实现可见光无约束识别

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935090

Esbern Andersen-Hoppe, C. Rathgeb, C. Busch

{"title":"Combining multiple iris texture features for unconstrained recognition in visible wavelengths","authors":"Esbern Andersen-Hoppe, C. Rathgeb, C. Busch","doi":"10.1109/IWBF.2017.7935090","DOIUrl":"https://doi.org/10.1109/IWBF.2017.7935090","url":null,"abstract":"Recognizing individuals in unconstrained environments without their cooperation, e.g. based on surveillance imagery, represents an active field of research. Non-cooperative iris recognition based on images captured at visible wavelength (VW) represents an extremely challenging task. To enhance the reliability of recognition systems using VW iris images, and to enable their use in forensic applications, state-of-the-art approaches additionally employ periocular information surrounding the eye. Hence, a fusion of information obtained from multiple biometric characteristics is vital in scenarios where the quality of biometric samples is severely affected by numerous factors. In this paper, we investigate the potential of a multi-algorithm fusion employing iris texture information extracted from VW iris images. Features extracted by four types of algorithms, i.e. conventional methods, keypoint-based methods, generic texture descriptors, and colour-based methods, are combined to improve the recognition accuracy. By performing a weighted score-level fusion of comparison scores obtained by four different types of feature extractors, improvements in biometric performance of 15% and 27% are achieved on subsets of the publicly available UBIRISv2 and MobBIO iris database, respectively.","PeriodicalId":111316,"journal":{"name":"2017 5th International Workshop on Biometrics and Forensics (IWBF)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124186121","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

Non-reference image quality assessment for biometric presentation attack detection 生物特征表示攻击检测的非参考图像质量评估

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935080

Amrit Pal Singh Bhogal, Dominik Söllinger, P. Trung, A. Uhl

引用次数: 17

Is your biometric system robust to morphing attaeks? 你的生物识别系统能抵御变形攻击吗?

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935079

M. Gomez-Barrero, C. Rathgeb, U. Scherhag, C. Busch

引用次数: 34

Assessing face image quality for smartphone based face recognition system 基于智能手机的人脸识别系统的人脸图像质量评估

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935089

P. Wasnik, K. Raja, Ramachandra Raghavendra, C. Busch

引用次数: 36

The LV dataset: A realistic surveillance video dataset for abnormal event detection LV数据集:用于异常事件检测的现实监控视频数据集

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935096

Roberto Leyva, Victor Sanchez, Chang-Tsun Li

引用次数: 35

The IST-EURECOM Light Field Face Database IST-EURECOM光场人脸数据库

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935086

Alireza Sepas-Moghaddam, V. Chiesa, P. Correia, F. Pereira, J. Dugelay

{"title":"The IST-EURECOM Light Field Face Database","authors":"Alireza Sepas-Moghaddam, V. Chiesa, P. Correia, F. Pereira, J. Dugelay","doi":"10.1109/IWBF.2017.7935086","DOIUrl":"https://doi.org/10.1109/IWBF.2017.7935086","url":null,"abstract":"Light field cameras are emerging as powerful devices to capture rich scene representations that provide unique advantages for analysis and representation purposes. Some recent works have shown the power and usefulness of the richer information carried out by light field imaging, notably for face recognition. However, it is still difficult to fully assess how face recognition technology can benefit from these novel imaging sensors, notably due to the lack of appropriate test material. To support face recognition research exploiting light field images, the IST-EURECOM Light Field Face Database (IST-EURECOM LFFD) is presented in this paper. The purpose is to report the public availability of a light field face database which should be instrumental for designing, testing and validating light field imaging based recognition systems. The proposed face database includes data from 100 subjects, captured by a Lytro ILLUM camera in two 1–6 months separated sessions, with 20 samples per each person per session. To simulate multiple scenarios, the images are captured with several facial variations, covering a range of emotions, actions, poses, illuminations, and occlusions. The database includes the raw light field images, 2D rendered images and associated depth maps, along with a rich set of metadata. The IST-EURECOM LFFD is expected to become a valuable addition to existing face database repositories.","PeriodicalId":111316,"journal":{"name":"2017 5th International Workshop on Biometrics and Forensics (IWBF)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114604181","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: 35

Improved unseen-visible watermarking for copyrigth protection of digital image 改进的数字图像版权保护的不可见水印

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935084

O. Juarez-Sandoval, Eduardo Fragoso-Navarro, M. Cedillo-Hernández, M. Nakano-Miyatake, H. Meana, Antonio Cedillo-Hernández

{"title":"Improved unseen-visible watermarking for copyrigth protection of digital image","authors":"O. Juarez-Sandoval, Eduardo Fragoso-Navarro, M. Cedillo-Hernández, M. Nakano-Miyatake, H. Meana, Antonio Cedillo-Hernández","doi":"10.1109/IWBF.2017.7935084","DOIUrl":"https://doi.org/10.1109/IWBF.2017.7935084","url":null,"abstract":"Nowadays consumers of worldwide can capture digital image and video scene using several multimedia devices such as smartphones, tablets and cameras. Thus, the data captured may be easily copied or transmitted without any control and as consequence the intellectual property of the owner can be infringed, causing economic or moral damages. This fact suggests the necessity to develop security tools such as watermarking, to confront problems associated with the copyright protection. In this paper we propose an improved unseen-visible watermarking algorithm for copyright protection of digital color images. Unseen-visible watermarking is a recent approach that takes advantages of the visible and invisible watermarking, such as the readability and imperceptibility respectively, preserving the robustness of both. The design of the proposed method is based on Just Noticeable Difference (JND), Total Variation-based image decomposition and an image enhancement criterion. The watermark can be readable with a naked eye through the manipulation of image enhancement of the display device. Experimental results show that the scheme is effective for digital color images, preserving a high imperceptibility and its computational complexity is low.","PeriodicalId":111316,"journal":{"name":"2017 5th International Workshop on Biometrics and Forensics (IWBF)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205264","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

Compact image steganalysis for LSB-matching steganography lsb匹配隐写术的压缩图像隐写分析

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935103

O. Juarez-Sandoval, M. Cedillo-Hernández, G. Sánchez-Pérez, K. Toscano-Medina, H. Meana, M. Nakano-Miyatake

引用次数: 14

Transferable deep convolutional neural network features for fingervein presentation attack detection 用于手指静脉呈现攻击检测的可转移深度卷积神经网络特征

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935108

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

引用次数: 28

A reversible data hiding scheme for image interpolation based on reference matrix 一种基于参考矩阵的图像插值可逆数据隐藏方案

2017 5th International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2017-04-04 DOI: 10.1109/IWBF.2017.7935098

Chinchen Chang, T. Nguyen, Yanjun Liu

引用次数: 6