International Conference on Biometrics Engineering and Application最新文献_第2页

Empirical Evaluation of Texture-Based Print and Contact Lens Iris Presentation Attack Detection Methods 基于纹理的打印和隐形眼镜虹膜呈现攻击检测方法的经验评价

International Conference on Biometrics Engineering and Application Pub Date : 2019-05-29 DOI: 10.1145/3345336.3345341

Hareesh Mandalapu, Raghavendra Ramachandra, C. Busch

{"title":"Empirical Evaluation of Texture-Based Print and Contact Lens Iris Presentation Attack Detection Methods","authors":"Hareesh Mandalapu, Raghavendra Ramachandra, C. Busch","doi":"10.1145/3345336.3345341","DOIUrl":"https://doi.org/10.1145/3345336.3345341","url":null,"abstract":"Iris-based identification methods have been popularly used in real-world applications due to the unique characteristics of iris when compared to other biometric characteristics like face and fingerprint. As technological advances and low-cost artefacts are becoming more available, vulnerabilities to iris biometrics due to presentation attacks (PAs) are becoming a challenging problem. Presentation attack detection (PAD) algorithms have been employed in biometric capture devices and it has been an active research topic in the past years. In this study, a detailed survey and evaluation of state-of-the-art texture-based iris PAD methods are performed. Five different PAD methods are tested on four different datasets consisting of print and contact lens presentation attacks. Extensive experiments are performed on four different scenarios of presentation attack and results are presented. The properties of PAD algorithms like the quality of the database, the generalization abilities are mainly discussed in this work. It has been observed that fusion-based PAD methods perform better than other methods.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116198911","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

Identification of User Behavioral Biometrics for Authentication Using Keystroke Dynamics and Machine Learning 使用击键动力学和机器学习进行身份验证的用户行为生物识别

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230829

Sowndarya Krishnamoorthy, L. Rueda, Sherif Saad, H. Elmiligi

{"title":"Identification of User Behavioral Biometrics for Authentication Using Keystroke Dynamics and Machine Learning","authors":"Sowndarya Krishnamoorthy, L. Rueda, Sherif Saad, H. Elmiligi","doi":"10.1145/3230820.3230829","DOIUrl":"https://doi.org/10.1145/3230820.3230829","url":null,"abstract":"This paper focuses on the effective classification of the behavior of users accessing computing devices to authenticate them. The authentication is based on keystroke dynamics which captures the user's behavioral biometric and applies machine learning concepts to classify them. The users type a strong passcode \".tie5Roanl\" to record their typing pattern. In order to confirm identity anonymous data from 94 users were collected to carry out the research. Given the raw data, features were extracted from the attributes based on the button pressed and action timestamp events. The Support Vector Machine (SVM) classifier uses multi-class classification with one vs. one decision shape function to classify different users. To reduce the classification error, it is essential to identify the important features from the raw data. In an effort to confront the generation of features from attributes an efficient feature extraction algorithm has been developed, obtaining high classification performance are now being sought.\u0000 In this paper, we have applied minimum redundancy maximum relevance mRMR feature selection to increase the classification performance metrics and to confirm the identity of the users based on the way they access computing devices. From the results, we conclude that touch pressure, touch size and coordinates effectively contribute to identifying each user. The research will contribute significantly to the field of cyber-security by forming a robust au thentication system using machine learning algorithms.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116585224","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: 53

Learning LogDet Divergence for Ear Recognition 学习LogDet散度用于耳朵识别

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230832

Ibrahim Omara, Ahmed M. Hagag, W. Zuo

引用次数: 6

The Effects of JPEG2000 on Ear Recognition System JPEG2000对人耳识别系统的影响

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230831

Doaa Khalaf, Ibrahim Omara, Ahmed M. Hagag, Shaohui Liu

引用次数: 0

Iris Recognition Using Visible Images Based on the Fusion of Daugman's Approach and Hough Transform 基于Daugman方法和Hough变换的虹膜识别

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230825

R Gnana Praveen, Viswanath M. Ravi, Kumaar M. Sriraam

{"title":"Iris Recognition Using Visible Images Based on the Fusion of Daugman's Approach and Hough Transform","authors":"R Gnana Praveen, Viswanath M. Ravi, Kumaar M. Sriraam","doi":"10.1145/3230820.3230825","DOIUrl":"https://doi.org/10.1145/3230820.3230825","url":null,"abstract":"In the paper, we proposed a novel architecture for Iris Recognition. Contrary to the conventional approaches, where iris is obtained using NIR images, iris recognition is performed using visible images. In the proposed methodology, iris localization is achieved using a mask generated using Hue and saturation channels. Then the localized iris region is converted to binary mask using a threshold. After the binary mask is generated, the inner circle of the iris is obtained using the fusion of a contour-based approach and Hough transform. Once the inner circle of the iris is computed, the outer circle of the iris is estimated using Daugman's approach. After the inner and outer circles of the iris are segmented normalization is achieved by converting the polar coordinates to Cartesian coordinates and features are extracted. In the proposed architecture, we have done a comparative analysis using LBPH features and Zernike features and two classifiers, random forest and Support Vector Machines. During the recognition module, the feature is extracted from the test image and compared against the existing database.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116916871","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: 1

Score Fusion Strategies in Single-Iris Dual-Probe Recognition Systems 单虹膜双探针识别系统中的分数融合策略

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230823

P. Drozdowski, N. Wiegand, C. Rathgeb, C. Busch

引用次数: 1

Morph Deterction from Single Face Image: a Multi-Algorithm Fusion Approach 单幅人脸图像的形态检测:一种多算法融合方法

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230822

U. Scherhag, C. Rathgeb, C. Busch

引用次数: 32

Iris Template Protection using Discrete Logarithm 使用离散对数的虹膜模板保护

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230828

Mahesh Kumar Morampudi, M. Prasad, U. S. N. Raju

{"title":"Iris Template Protection using Discrete Logarithm","authors":"Mahesh Kumar Morampudi, M. Prasad, U. S. N. Raju","doi":"10.1145/3230820.3230828","DOIUrl":"https://doi.org/10.1145/3230820.3230828","url":null,"abstract":"Biometric authentication systems gained a huge public attention when compared to password authentication systems due to its direct connection with user identity. As Biometrics cannot be revoked or cancelled, several security and privacy issues will come if biometric templates are directly store into the database. To overcome this, there is a need to protect the biometric templates by applying transformations and at the same time accuracy won't be compromised. The transformed template is called cancellable template and it must satisfies all the requirements of Biometric Template Protection Schemes (BTPS) i.e., Diversity, unlinkability, accuracy, noninvertibility. The proposed method focused on generating cancellable iris templates by using discrete logarithm. By applying 1-D log Gabor filter on the iris images, iris codes were generated. Later a row vector is formed by appending next row to the previous one. Then the row vector is partitioned and converted into decimal vector. To achieve security or noninvertibility decimal vector is subjected to discrete logarithm over a prime field. To confirm the accuracy of the proposed approach, experiments are performed on CASIA-V 1.0 & CASIA-V3-Interval and achieved EER as 0.57% & 0.79%. Although the EER seems somewhat high, proposed approach is efficient in terms of security and noninvertible perspectives.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117098546","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: 6

Fingerprint Authentication Using LT Codes 使用LT码进行指纹认证

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230827

Parth Pahariya, S. Singh

引用次数: 0

Studying WiFi and Accelerometer Data Based Authentication Method on Mobile Phones 基于WiFi和加速度计数据的手机认证方法研究

International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230824

Guoqiang Li, Patrick A. H. Bours

引用次数: 25