2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)最新文献

"I don't like putting my face on the Internet!": An acceptance study of face biometrics as a CAPTCHA replacement “我不喜欢把我的脸放到网上!”:人脸生物识别技术替代CAPTCHA的可行性研究

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-05-26 DOI: 10.1109/ISBA.2016.7477235

Kat Krol, S. Parkin, M. Sasse

{"title":"\"I don't like putting my face on the Internet!\": An acceptance study of face biometrics as a CAPTCHA replacement","authors":"Kat Krol, S. Parkin, M. Sasse","doi":"10.1109/ISBA.2016.7477235","DOIUrl":"https://doi.org/10.1109/ISBA.2016.7477235","url":null,"abstract":"Biometric technologies have the potential to reduce the effort involved in securing personal activities online, such as purchasing goods and services. Verifying that a user session on a website is attributable to a real human is one candidate application, especially as the existing CAPTCHA technology is burdensome and can frustrate users. Here we examine the viability of biometrics as part of the consumer experience in this space. We invited 87 participants to take part in a lab study, using a realistic ticket-buying website with a range of human verification mechanisms including a face biometric technology. User perceptions and acceptance of the various security technologies were explored through interviews and a range of questionnaires within the study. The results show that some users wanted reassurance that their personal image will be protected or discarded after verifying, whereas others felt that if they saw enough people using face biometrics they would feel assured that it was trustworthy. Face biometrics were seen by some participants to be more suitable for high-security contexts, and by others as providing extra personal data that had unacceptable privacy implications.","PeriodicalId":198009,"journal":{"name":"2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130160785","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

Performance analysis of gait recognition with large perspective distortion 具有大视角失真的步态识别性能分析

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-03-01 DOI: 10.1109/ISBA.2016.7477229

Fatimah Abdulsattar, J. Carter

{"title":"Performance analysis of gait recognition with large perspective distortion","authors":"Fatimah Abdulsattar, J. Carter","doi":"10.1109/ISBA.2016.7477229","DOIUrl":"https://doi.org/10.1109/ISBA.2016.7477229","url":null,"abstract":"In real security scenarios, gait data may be highly distorted due to perspective effects and there may be significant change in appearance, orientation and occlusion between different measurements. To deal with this problem, a new identification technique is proposed by reconstructing 3D models of the walking subject, which are then used to identify subject images from an arbitrary camera. 3D models in one gait cycle are aligned to match silhouettes in a 2D gait cycle by estimating the positions of a 3D and 2D gait cycles in a 3D space. This allows the gait data in a gallery and probe share the same appearance, perspective and occlusion. Generic Fourier Descriptors are used as gait features. The performance is evaluated using a new collected dataset of 17 subjects walking in a narrow walkway. A Correct Classification Rate of 98.8% is achieved. This high recognition rate has still been achieved using a modest number of features. The analysis indicate that the technique can handle truncated gait cycles of different length and is insensitive to noisy silhouettes. However, calibration errors have a negative impact upon recognition performance.","PeriodicalId":198009,"journal":{"name":"2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131536480","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

Towards human-assisted signature recognition: Improving biometric systems through attribute-based recognition 迈向人类辅助签名识别:通过基于属性的识别改进生物识别系统

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477227

D. Morocho, A. Morales, Julian Fierrez, R. Vera-Rodríguez

引用次数: 11

Linebased end-to-display encryption for secure documents 基于行的端到端显示加密，用于安全文档

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477242

S. Burg, Pranav Channakeshava, O. Bringmann

引用次数: 1

Vein point cloud registration algorithm for multi-pose hand vein authentication 多姿态手部静脉认证的静脉点云配准算法

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477248

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

引用次数: 4

Quality based classification of images for illumination invariant face recognition 光照不变人脸识别中基于质量的图像分类

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477245

Bharath Subramanyam, Piyush Joshi, M. Meena, S. Prakash

引用次数: 9

Combining keystroke and mouse dynamics for continuous user authentication and identification 结合击键和鼠标动态连续用户认证和识别

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477228

Soumik Mondal, Patrick A. H. Bours

引用次数: 44

Robust transgender face recognition: Approach based on appearance and therapy factors 稳健跨性别人脸识别:基于外观和治疗因素的方法

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477226

Vijay Kumar, Ramachandra Raghavendra, A. Namboodiri, C. Busch

{"title":"Robust transgender face recognition: Approach based on appearance and therapy factors","authors":"Vijay Kumar, Ramachandra Raghavendra, A. Namboodiri, C. Busch","doi":"10.1109/ISBA.2016.7477226","DOIUrl":"https://doi.org/10.1109/ISBA.2016.7477226","url":null,"abstract":"Transgender face recognition is gaining increasing attention in the face recognition community because of its potential in real life applications. Despite extensive progress in traditional face recognition domain, it is very challenging to recognize faces under transgender setting. The gender transformation results in significant face variations, both in shape and texture gradually over time. This introduces additional complexities to existing face recognition algorithms to achieve a reliable performance. In this paper, we present a novel framework that incorporates appearance factor and a transformation factor caused due to Hormone Replacement Therapy (HRT) for recognition. To this extent, we employ the Hidden Factor Analysis (HFA) to jointly model a face under therapy as a linear combination of appearance and transformation factors. This is based on the intuition that the appearance factor captures the features that are unaffected by the therapy and transformation factor captures the feature changes due to therapy. Extensive experiments carried out on publicly available HRT transgender face database shows the efficacy of the proposed scheme with a recognition accuracy of 82.36%.","PeriodicalId":198009,"journal":{"name":"2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129126424","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: 10

Assessing vulnerability of dorsal hand-vein verification system to spoofing attacks using smartphone camera 手背静脉验证系统对智能手机摄像头欺骗攻击的脆弱性评估

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477232

I. Patil, Shruti Bhilare, Vivek Kanhangad

{"title":"Assessing vulnerability of dorsal hand-vein verification system to spoofing attacks using smartphone camera","authors":"I. Patil, Shruti Bhilare, Vivek Kanhangad","doi":"10.1109/ISBA.2016.7477232","DOIUrl":"https://doi.org/10.1109/ISBA.2016.7477232","url":null,"abstract":"This paper investigates vulnerability of the dorsal hand-vein biometric systems to display based presentation attacks. The database collected for our experiments consists of624 real and 312 spoof images from left and right hands of 52 subjects, of which 32 are males and 20 are females. In order to assess the vulnerability of the system, we have created artefacts in a more realistic scenario assuming no access to real images in the database. Specifically, a smart-phone camera is used to capture user's hand images, which are then displayed on its screen and presented to the biometric sensor as artefacts. Scale invariant feature transform (SIFT) based image descriptors are employed for image matching. For detection of keypoints, we have considered three techniques, namely, difference of Gaussian (DoG), Harris-Laplace and Hessian-Laplace and performed comparative assessment of vulnerability. Worst-case vulnerability of these approaches in terms of spoof false acceptance rate (SFAR) has been found to be 61.8%, 46.1% and 49.03%, respectively. SFAR values obtained in our experiments are too high to be acceptable for real-world deployments and indicate that dorsal hand-vein biometric systems are also vulnerable to spoofing attacks.","PeriodicalId":198009,"journal":{"name":"2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131229674","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: 14

Accessibility evaluation of a mobile biometric recognition system 移动生物识别系统的可访问性评价

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2016-02-01 DOI: 10.1109/ISBA.2016.7477234

Ramón Blanco-Gonzalo, R. Sánchez-Reillo, Carlos Sanchez-Redondo, Jose Luis Alonso-Aguilera

引用次数: 5