2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)最新文献_第3页

Joint prototype and metric learning for set-to-set matching: Application to biometrics 集合对集合匹配的联合原型和度量学习:在生物识别中的应用

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358771

Mengjun Leng, Panagiotis Moutafis, I. Kakadiaris

引用次数: 11

Smartwatch-based biometric gait recognition 基于智能手表的生物识别步态识别

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358794

Andrew H. Johnston, Gary M. Weiss

引用次数: 131

Latent fingerprint from multiple surfaces: Database and quality analysis 多表面潜指纹:数据库及质量分析

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358773

A. Sankaran, Akshay Agarwal, Rohit Keshari, Soumyadeep Ghosh, Anjali Sharma, Mayank Vatsa, Richa Singh

引用次数: 9

Improvements to keystroke-based authentication by adding linguistic context 通过添加语言上下文改进按键式身份验证

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358766

Adam Goodkind, David Guy Brizan, Andrew Rosenberg

引用次数: 4

On smartphone camera based fingerphoto authentication 基于智能手机摄像头的指纹认证

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358782

A. Sankaran, Aakarsh Malhotra, Apoorva Mittal, Mayank Vatsa, Richa Singh

引用次数: 59

Unconstrained face verification using fisher vectors computed from frontalized faces 基于fisher向量的无约束人脸验证

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358802

Jun-Cheng Chen, S. Sankaranarayanan, Vishal M. Patel, R. Chellappa

引用次数: 16

Towards repeatable, reproducible, and efficient biometric technology evaluations 迈向可重复、可再现、高效的生物识别技术评估

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358800

Gregory Fiumara, W. Salamon, C. Watson

{"title":"Towards repeatable, reproducible, and efficient biometric technology evaluations","authors":"Gregory Fiumara, W. Salamon, C. Watson","doi":"10.1109/BTAS.2015.7358800","DOIUrl":"https://doi.org/10.1109/BTAS.2015.7358800","url":null,"abstract":"With the proliferation of biometric-based identity management solutions, biometric algorithms need to be tested now more than ever. Independent biometric technology evaluations are needed to perform this testing, but are not trivial to run, as demonstrated by only a handful of organizations attempting to perform such a feat. Worse, many software development packages designed for running biometric technology evaluations available today shy away from techniques that enable automation, a concept that supports reproducible research. The evaluation software used for testing biometric recognition algorithms needs to efficiently scale as the sample datasets employed by researchers grow increasingly large. With better software, additional entities with their own biometric data collection repositories could easily administer a reproducible biometric technology evaluation. Existing evaluation software is available, but these packages do not always follow best practices and they are lacking several important features. This paper identifies the necessary requirements and ideal characteristics of a robust biometric evaluation toolkit and introduces our implementation thereof, which has been used in several large-scale biometric technology evaluations by multiple organizations.","PeriodicalId":404972,"journal":{"name":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123676907","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

Limbus impact removal for off-angle iris recognition using eye models 基于眼模型的边缘冲击去除非角度虹膜识别

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358775

Osman M. Kurtuncu, M. Karakaya

{"title":"Limbus impact removal for off-angle iris recognition using eye models","authors":"Osman M. Kurtuncu, M. Karakaya","doi":"10.1109/BTAS.2015.7358775","DOIUrl":"https://doi.org/10.1109/BTAS.2015.7358775","url":null,"abstract":"The traditional iris recognition algorithms segment the iris image at the cornea-sclera border as the outer boundary because they consider the visible portion of iris as the entire iris texture. However, limbus, an additional semitransparent eye structure at junction of the cornea and sclera, occludes iris textures at the sides that cannot be seen at the off-angle iris images. In the biometrics community, limbus occlusion is unnoticed due to its limited effect at frontal iris images. However, to ignore the effect of the limbus occlusion in off-angle iris images causes significant performance degradation in iris biometrics. In this paper, we first investigate the limbus impact on off-angle iris recognition. Then, we propose a new approach to remove the effect of limbus occlusion. In our approach, we segmented iris image at its actual outer iris boundary instead of the visible outer iris boundary as in traditional methods and normalize them based on the actual outer iris boundary. The invisible iris region in unwrapped image that is occluded by limbus is eliminated by including it into the mask. Based on the relation between the segmentation parameters of actual and visible iris boundaries, we generate a transfer function and estimate the actual iris boundary from the segmented visible iris boundary depending on the known limbus height and gaze angle. Moreover, based on experiments with the synthetic iris dataset from the biometric eye model, we first show that not only the acquisition angle but also the limbus height negatively affects the performance of the off-angle iris recognition and then we eliminate this negative effect with applying our proposed method.","PeriodicalId":404972,"journal":{"name":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124452239","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

Music and images as contexts in a context-aware touch-based authentication system 音乐和图像在基于上下文的触摸认证系统中作为上下文

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358779

Abena Primo, V. Phoha

引用次数: 5

A robust sclera segmentation algorithm 一种鲁棒巩膜分割算法

2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) Pub Date : 2015-12-17 DOI: 10.1109/BTAS.2015.7358746

P. Radu, J. Ferryman, Peter Wild

引用次数: 27