2016 International Conference on Biometrics (ICB)最新文献_第4页

Enhanced segmentation and complex-sclera features for human recognition with unconstrained visible-wavelength imaging 增强分割和复杂巩膜特征的人类识别与无约束的可见波长成像

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550049

Sinan H. Alkassar, W. L. Woo, S. Dlay, J. Chambers

引用次数: 18

Automatic latent value determination 自动潜值测定

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550084

Kai Cao, T. Chugh, Jiayu Zhou, Elham Tabassi, Anil K. Jain

{"title":"Automatic latent value determination","authors":"Kai Cao, T. Chugh, Jiayu Zhou, Elham Tabassi, Anil K. Jain","doi":"10.1109/ICB.2016.7550084","DOIUrl":"https://doi.org/10.1109/ICB.2016.7550084","url":null,"abstract":"Latent fingerprints are the most frequently encountered and reliable crime scene evidence used in forensics investigations. Automatic methods for quantitative assessment of a latent in terms of (i) value for individualization (VID), (ii) value for exclusion only (VEO), and (iii) no value (NV), are needed to minimize the workload of latent examiners so that they can pay more attention to challenging prints (VID and NV latents). Current value determination is either made by examiners or predicted given manually annotated features. Because both of these approaches depend on human markup, they are subjective and time consuming. We propose a fully automatic method for latent value determination based on the number, reliability, and compactness of the minutiae, ridge quality, ridge flow, and the number of core and delta points. Given the small number of latents with VEO and NV labels in two latent databases available to us (NIST SD27 and WVU), only a two-class value determination is considered, namely VID and VID̅, where the VID̅ class contains VEO and NV latents. Experimental results show that the value determination by the proposed method (i) obviates the need for examiner markup while maintaining the accuracy of value determination and (ii) can predict the AFIS performance better than examiners.","PeriodicalId":308715,"journal":{"name":"2016 International Conference on Biometrics (ICB)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122590807","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: 15

A practical technique for gait recognition on curved and straight trajectories 一种基于曲线和直线轨迹的实用步态识别技术

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550059

Fatimah Abdulsattar, J. Carter

{"title":"A practical technique for gait recognition on curved and straight trajectories","authors":"Fatimah Abdulsattar, J. Carter","doi":"10.1109/ICB.2016.7550059","DOIUrl":"https://doi.org/10.1109/ICB.2016.7550059","url":null,"abstract":"Many studies show the effectiveness of gait in surveillance and access control scenarios. However, appearance changes due to walking direction changes impose a challenge for gait recognition techniques that assume people only walk in a straight line. In this paper, the effect of walking along straight and curved path is studied by proposing a practical technique which is based on the three key frames in the start, middle and end of the gait cycle. The position of these frames is estimated in 3D space which is then used to estimate the local walking direction in the first and second part of the cycle. The technique used 3D volume sequences of the people to adapt to changes in the walking direction. The performance is evaluated using a newly collected dataset and the Kyushu University 4D Gait Dataset, containing people walking in straight lines and curves. With the proposed technique, we obtain a correct classification rate of 98% for matching straight with straight walking and 81% for matching straight with curved walking averaged over both datasets. The variation in walking patterns when a person walks along a straight or curved path is most likely to be responsible for the difference. In support of this, the recognition rate when matching curved with curved walking is 99% on our dataset.","PeriodicalId":308715,"journal":{"name":"2016 International Conference on Biometrics (ICB)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128443110","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

Extending non-negative matrix factorisation to 3D registered data 将非负矩阵因式分解扩展至三维注册数据

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550083

W. P. Koppen, W. Christmas, D. Crouch, Walter F. Bodmer, J. Kittler

引用次数: 2

Gait collector: An automatic gait data collection system in conjunction with an experience-based long-run exhibition 步态采集器:结合基于经验的长跑展览的自动步态数据收集系统

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550090

Yasushi Makihara, Takuhiro Kimura, Fumio Okura, Ikuhisa Mitsugami, Masataka Niwa, Chihiro Aoki, Atsuyuki Suzuki, D. Muramatsu, Y. Yagi

引用次数: 23

Influence of cataract surgery on iris recognition: A preliminary study 白内障手术对虹膜识别影响的初步研究

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550067

Ramachandra Raghavendra, K. Raja, Vinay Krishna Vemuri, Swetha Kumari, Pierre Gacon, E. Krichen, C. Busch

{"title":"Influence of cataract surgery on iris recognition: A preliminary study","authors":"Ramachandra Raghavendra, K. Raja, Vinay Krishna Vemuri, Swetha Kumari, Pierre Gacon, E. Krichen, C. Busch","doi":"10.1109/ICB.2016.7550067","DOIUrl":"https://doi.org/10.1109/ICB.2016.7550067","url":null,"abstract":"Iris biometrics is considered as the unique and accurate biometric characteristics that are suited for large scale applications such as India's AADHAR, CANPASS, and many other national ID programs. However, the accuracy of the iris recognition is observed to degrade when eye (or iris) is affected by the diseases. Among many other eye diseases, cataract results in a cloud formation on the eye lens and is a potential problem, especially in the developing countries. In this paper, we present a preliminary study on 84 data subjects to reveal the effect of cataract on iris recognition performance. We investigate three different scenarios, which involve: (1) Enrolment and recognition of affected eyes (pre-operated eye) (2) Enrolement and recognition of operated eyes (post-operated eye) (3) Enrolment with affected eyes and recognition with operated eyes. Extensive experiments are carried out using five different academic and commercial iris recognition methods to get complete insight on the impact of cataract on the recognition performance. Results obtained on our database indicate the degraded performance in verification of the cataract operated eye.","PeriodicalId":308715,"journal":{"name":"2016 International Conference on Biometrics (ICB)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123904363","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

Bayesian Belief models for integrating match scores with liveness and quality measures in a fingerprint verification system 结合指纹验证系统中匹配分数与活跃度和质量指标的贝叶斯信念模型

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550095

Yaohui Ding, A. Rattani, A. Ross

引用次数: 12

Multi-task ConvNet for blind face inpainting with application to face verification 基于多任务卷积神经网络的盲人脸补图及其在人脸验证中的应用

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550058

Shu Zhang, R. He, Zhenan Sun, T. Tan

{"title":"Multi-task ConvNet for blind face inpainting with application to face verification","authors":"Shu Zhang, R. He, Zhenan Sun, T. Tan","doi":"10.1109/ICB.2016.7550058","DOIUrl":"https://doi.org/10.1109/ICB.2016.7550058","url":null,"abstract":"Face verification between ID photos and life photos (FVBIL) is gaining traction with the rapid development of the Internet. However, ID photos provided by the Chinese administration center are often corrupted with wavy lines to prevent misuse, which poses great difficulty to accurate FVBIL. Therefore, this paper tries to improve the verification performance by studying a new problem, i.e. blind face inpainting, where we aim at restoring clean face images from the corrupted ID photos. The term blind indicates that the locations of corruptions are not known in advance. We formulate blind face inpainting as a joint detection and reconstruction problem. A multi-task ConvNet is accordingly developed to facilitate end to end network training for accurate and fast inpainting. The ConvNet is used to (i) regress the residual values between the clean/corrupted ID photo pairs and (ii) predict the positions of residual regions. Moreover, to achieve better inpainting results, we employ a skip connection to fuse information in the intermediate layer. To enable training of our ConvNet, we collect a dataset of synthetic clean/corrupted ID photo pairs with 500 thousand samples from around 10 thousand individuals. Experiments demonstrate that our multi-task ConvNet achieves superior performance in terms of reconstruction errors, convergence speed and verification accuracy.","PeriodicalId":308715,"journal":{"name":"2016 International Conference on Biometrics (ICB)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116341829","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: 24

Exploiting privileged information for facial expression recognition 利用特权信息进行面部表情识别

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550048

Michalis Vrigkas, Christophoros Nikou, I. Kakadiaris

引用次数: 6

3D feature array involved registration algorithm for multi-pose hand vein authentication 基于三维特征阵列的手部静脉多姿态认证配准算法

2016 International Conference on Biometrics (ICB) Pub Date : 2016-06-13 DOI: 10.1109/ICB.2016.7550061

Yong Qi, Ya Zhou, Chang Zhou, Xinran Hu, Xiaoming Hu

引用次数: 1