2018 International Conference on Biometrics (ICB)最新文献_第3页

Detection of Glasses in Near-Infrared Ocular Images 近红外眼图像中眼镜的检测

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00039

P. Drozdowski, F. Struck, C. Rathgeb, C. Busch

引用次数: 15

IARPA Janus Benchmark - C: Face Dataset and Protocol IARPA Janus Benchmark - C:人脸数据集和协议

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00033

Brianna Maze, Jocelyn C. Adams, James A. Duncan, N. Kalka, Tim Miller, C. Otto, Anil K. Jain, W. T. Niggel, Janet Anderson, J. Cheney, P. Grother

{"title":"IARPA Janus Benchmark - C: Face Dataset and Protocol","authors":"Brianna Maze, Jocelyn C. Adams, James A. Duncan, N. Kalka, Tim Miller, C. Otto, Anil K. Jain, W. T. Niggel, Janet Anderson, J. Cheney, P. Grother","doi":"10.1109/ICB2018.2018.00033","DOIUrl":"https://doi.org/10.1109/ICB2018.2018.00033","url":null,"abstract":"Although considerable work has been done in recent years to drive the state of the art in facial recognition towards operation on fully unconstrained imagery, research has always been restricted by a lack of datasets in the public domain. In addition, traditional biometrics experiments such as single image verification and closed set recognition do not adequately evaluate the ways in which unconstrained face recognition systems are used in practice. The IARPA Janus Benchmark–C (IJB-C) face dataset advances the goal of robust unconstrained face recognition, improving upon the previous public domain IJB-B dataset, by increasing dataset size and variability, and by introducing end-to-end protocols that more closely model operational face recognition use cases. IJB-C adds 1,661 new subjects to the 1,870 subjects released in IJB-B, with increased emphasis on occlusion and diversity of subject occupation and geographic origin with the goal of improving representation of the global population. Annotations on IJB-C imagery have been expanded to allow for further covariate analysis, including a spatial occlusion grid to standardize analysis of occlusion. Due to these enhancements, the IJB-C dataset is significantly more challenging than other datasets in the public domain and will advance the state of the art in unconstrained face recognition.","PeriodicalId":130957,"journal":{"name":"2018 International Conference on Biometrics (ICB)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132629689","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: 452

The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children 年龄和阈值变化对儿童图像人脸识别算法性能的影响

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00041

Dana Michalski, Sau Yee Yiu, C. Malec

{"title":"The Impact of Age and Threshold Variation on Facial Recognition Algorithm Performance Using Images of Children","authors":"Dana Michalski, Sau Yee Yiu, C. Malec","doi":"10.1109/ICB2018.2018.00041","DOIUrl":"https://doi.org/10.1109/ICB2018.2018.00041","url":null,"abstract":"Facial recognition across ageing and in particular with images of children remains a challenging problem in a wide of range of operational settings. Yet, research examining algorithm performance with images of children is limited with minimal understanding of how age and age variation (i.e., age difference between images being compared) impacts on performance. Operationally, a fixed threshold based on images of adults may be used without considering that this could impact on performance with children. Threshold variation based on age and age variation may be a better approach when comparing images of children. This paper evaluates the performance of a commercial off-the-shelf (COTS) facial recognition algorithm to determine the impact that age (0–17 years) and age variation (0–10 years) has on a controlled operational dataset of facial images using both a fixed threshold and threshold variation approach. This evaluation shows that performance of children differs considerably across age and age variation, and in some operational settings, threshold variation may be beneficial for conducting facial recognition with children.","PeriodicalId":130957,"journal":{"name":"2018 International Conference on Biometrics (ICB)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123481623","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: 22

Fingerprint Synthesis: Evaluating Fingerprint Search at Scale 指纹合成:大规模评价指纹搜索

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00016

Kai Cao, Anil K. Jain

引用次数: 26

Style Signatures to Combat Biometric Menagerie in Stylometry 风格签名对抗文体学中的生物识别动物园

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00047

Kalaivani Sundararajan, T. Neal, D. Woodard

引用次数: 1

Filter Design Based on Spectral Dictionary for Latent Fingerprint Pre-enhancement 基于谱字典的潜在指纹预增强滤波器设计

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00015

Watcharapong Chaidee, K. Horapong, V. Areekul

引用次数: 11

Metadata-Based Feature Aggregation Network for Face Recognition 基于元数据的人脸识别特征聚合网络

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00028

Nishant Sankaran, S. Tulyakov, S. Setlur, V. Govindaraju

引用次数: 12

Multi-spectral Iris Segmentation in Visible Wavelengths 可见光多光谱虹膜分割

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00037

Torsten Schlett, C. Rathgeb, C. Busch

{"title":"Multi-spectral Iris Segmentation in Visible Wavelengths","authors":"Torsten Schlett, C. Rathgeb, C. Busch","doi":"10.1109/ICB2018.2018.00037","DOIUrl":"https://doi.org/10.1109/ICB2018.2018.00037","url":null,"abstract":"While traditional iris recognition systems operate using near-infrared images, visible wavelength approaches have gained attention in recent years due to a variety of reasons, such as the deployment of iris recognition in consumer grade mobile devices. Iris segmentation, the process of localizing the iris part of an image, is a vital step in iris recognition. The segmentation of the iris usually involves a detection of inner and outer iris boundaries, a detection of eyelids, an exclusion of eyelashes as well as contact lens rings and a scrubbing of specular reflections. This work presents a comprehensive multi-spectral analysis to improve iris segmentation accuracy in visible wavelengths by transforming iris images before their segmentation, which is done by extracting spectral components in form of RGB color channels. The procedure is evaluated by utilizing the MobBIO dataset, open-source iris segmentation tools, and the NICE.I error measures. Additionally, a segmentation-level fusion procedure based on existing work is performed; an eye color analysis is examined, with no clear connection to the multi-spectral procedure being found; and another analysis highlights further potential improvement by assuming perfect selection within various multi-spectral segmentation result sets.","PeriodicalId":130957,"journal":{"name":"2018 International Conference on Biometrics (ICB)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130386328","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

Multi-sample Compression of Iris Images Using High Efficiency Video Coding 基于高效视频编码的虹膜图像多样本压缩

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00051

C. Rathgeb, Torsten Schlett, Nicolas Buchmann, Harald Baier, C. Busch

{"title":"Multi-sample Compression of Iris Images Using High Efficiency Video Coding","authors":"C. Rathgeb, Torsten Schlett, Nicolas Buchmann, Harald Baier, C. Busch","doi":"10.1109/ICB2018.2018.00051","DOIUrl":"https://doi.org/10.1109/ICB2018.2018.00051","url":null,"abstract":"When multiple image samples of a single eye are captured during enrolment the accuracy of iris recognition systems can be substantially improved. However, storage requirement significantly increases if the system stores multiple iris images per enrolled eye. We consider this practical scenario and provide a comparative study on the usefulness of relevant image compression algorithms, i.e. JPEG, JPEG 2000 and the more recently introduced Better Portable Graphics (BPG) algorithm, which is based on a subset of the High Efficiency Video Coding (HEVC) standard. We propose a HEVC-based multi-sample compression which takes advantage of inter-frame prediction to achieve a more compact storage of iris images. Experiments on cropped iris images of the IITDv1 and the CASIAv4-Interval datasets confirm the usefulness of the presented approach. Compared to a separate storage of multiple BPG encoded images of size 2 to 3 KB the required storage space can be reduced by at least 30% if images are acquired in a single session. Similarly, at constant file sizes a relative enhancement of image quality of at least 5% in terms of PSNR is achieved. Compared to the widely recommended JPEG 2000 compression, obtained performance gains become even more pronounced. Gains with respect to image quality are also reflected in experiments on recognition performance.","PeriodicalId":130957,"journal":{"name":"2018 International Conference on Biometrics (ICB)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122117607","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: 2

The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics 脸的阴暗面:探索面部生物识别的紫外线光谱

2018 International Conference on Biometrics (ICB) Pub Date : 2018-02-01 DOI: 10.1109/ICB2018.2018.00036

Timotheos Samartzidis, Dirk Siegmund, Michael Gödde, N. Damer, Andreas Braun, Arjan Kuijper

{"title":"The Dark Side of the Face: Exploring the Ultraviolet Spectrum for Face Biometrics","authors":"Timotheos Samartzidis, Dirk Siegmund, Michael Gödde, N. Damer, Andreas Braun, Arjan Kuijper","doi":"10.1109/ICB2018.2018.00036","DOIUrl":"https://doi.org/10.1109/ICB2018.2018.00036","url":null,"abstract":"Facial recognition in the visible spectrum is a widely used application but it is also still a major field of research. In this paper we present melanin face pigmentation (MFP) as a new modality to be used to extend classical face biometrics. Melanin pigmentation are sun-damaged cells that occur as revealed and/or unrevealed pattern on human skin. Most MFP can be found in the faces of some people when using ultraviolet (UV) imaging. To proof the relevance of this feature for biometrics, we present a novel image dataset of 91 multiethnic subjects in both, the visible and the UV spectrum. We show a method to extract the MFP features from the UV images, using the well known SURF features and compare it with other techniques. In order to proof its benefits, we use weighted score-level fusion and evaluate the performance in an one against all comparison. As a result we observed a significant amplification of performance where traditional face recognition in the visible spectrum is extended with MFP from UV images. We conclude with a future perspective about the use of these features for future research and discuss observed issues and limitations.","PeriodicalId":130957,"journal":{"name":"2018 International Conference on Biometrics (ICB)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114784876","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