2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)最新文献

Touch gesture-based authentication: A security analysis of Pattern Unlock 基于触摸手势的身份验证:模式解锁的安全性分析

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-06-15 DOI: 10.1109/ISBA.2017.7947711

Nasiru Ibrahim, H. Sellahewa

引用次数: 5

Millimetre wave person recognition: Hand-crafted vs learned features 毫米波人物识别:手工制作与学习特征

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947692

E. González-Sosa, R. Vera-Rodríguez, Julian Fierrez, Vishal M. Patel

引用次数: 9

Parameter adjustment of finger vein recognition algorithms 手指静脉识别算法参数调整

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947697

He Zheng, Yapeng Ye, Shilei Liu, Liao Ni, Yi Zhang, Houjun Huang, Wenxin Li

{"title":"Parameter adjustment of finger vein recognition algorithms","authors":"He Zheng, Yapeng Ye, Shilei Liu, Liao Ni, Yi Zhang, Houjun Huang, Wenxin Li","doi":"10.1109/ISBA.2017.7947697","DOIUrl":"https://doi.org/10.1109/ISBA.2017.7947697","url":null,"abstract":"Finger vein recognition is a biometric method utilizing the vein patterns inside one's fingers for personal identification. Recognition algorithm is the key part of a finger vein recognition system, dominating the system performance. There are usually a lot of parameters in algorithms, and different values of the parameters could lead to different system performance so that it is essential to set a proper value for each parameter in practice. In this paper, we conduct a set of experiments to study how the parameters influence the performance measured by equal error rate. We have made two observations from the results: 1.When an algorithm is applied on a dataset, the performance differs a lot as the parameter value changes even in a small range; 2.When an algorithm is applied on different datasets, the performance differs a lot, in other words, the optimized parameter value combination that maximizes the system performance differs significantly. These two observations reveal the importance of parameter adjustment in finger vein recognition. So this paper proposes two solutions: search algorithm and estimation by subset, which are fast, accurate and scalable methods to find the best parameters. The experiment results prove the effectiveness of our methods.","PeriodicalId":436086,"journal":{"name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"28 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121003458","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

Finger knuckle image based personal authentication using DeepMatching 基于手指关节图像的深度匹配个人认证

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947706

Gaurav Jaswal, A. Nigam, R. Nath

{"title":"Finger knuckle image based personal authentication using DeepMatching","authors":"Gaurav Jaswal, A. Nigam, R. Nath","doi":"10.1109/ISBA.2017.7947706","DOIUrl":"https://doi.org/10.1109/ISBA.2017.7947706","url":null,"abstract":"Recently under the lights of mega Indian Aadhaar [2] project, Indian government has been trying to initiate a robust linkage between several financial inclusion schemes (such as NREGA and MNREGA) and biometric based personal authentication mechanism. This will ensure a corruption free realization and management of such policies. Among commonly used biometric traits, fingerprint is the most accepted mode of identification. However, fingerprints are found monotonous in case of laborers and workers due to rough usages of hand in variety of day-to-day works. This will seriously affect any such initiation adversely, especially in India, which is primarily a rural country. On the contrary, quality of finger dorsal patterns remain better under such situations. In this work, we are proposing a novel finger-knuckle based biometric system to check the escapes that are present in transfer of payments through the various levels of bureaucracy financial inclusion projects. The method is based on finger knuckle local features that has been preprocessed by using ROI extraction, enhancement and proposed feature transformation schemes. In the classification process, a novel Deep-matching technique has been used to match the non-rigid regions between finger knuckle images. The experimental evaluation of proposed system has been carried out using publicly available PolyU finger-knuckle-print database of 8000 images collected from 165 subjects. Our results demonstrate the discriminative ability of transformed knuckle features (CRR-99.10%, and EER-0.98%) in improving the performance of traditional FKI biometric system.","PeriodicalId":436086,"journal":{"name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132972482","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

On the vulnerability of extended Multispectral face recognition systems towards presentation attacks 扩展多光谱人脸识别系统对表示攻击的脆弱性研究

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947698

Ramachandra Raghavendra, K. Raja, S. Venkatesh, F. A. Cheikh, C. Busch

{"title":"On the vulnerability of extended Multispectral face recognition systems towards presentation attacks","authors":"Ramachandra Raghavendra, K. Raja, S. Venkatesh, F. A. Cheikh, C. Busch","doi":"10.1109/ISBA.2017.7947698","DOIUrl":"https://doi.org/10.1109/ISBA.2017.7947698","url":null,"abstract":"Presentation attacks (a.k.a, direct attacks or spoofing attacks) against face recognition systems have emerged as a serious security threat. To mitigate these attacks on conventional face recognition systems, several Presentation Attack Detection (PAD) algorithms have been developed, which address various Presentation Attack Instruments (PAI) including 3D face masks, 2D photo, wrap photo and electronic display, that can be used for the attack. In this paper, we demonstrate and evaluate the vulnerability of an extended Multispectral face recognition system. The extended Multispectral system captures the face image across various spectral bands, thus, we propose to study each of these spectral bands for the vulnerability towards presentation attacks. We have employed a commercial Multispectral camera - SpectraCam™ that can capture seven different spectral bands to collect both bona-fide (a.k.a, live or normal or real) samples as well as artefact (or spoof) face samples. Extensive experiments are carried out on the newly compiled database to provide insights on the vulnerability of the extended Multispectral face system towards PAI generated using a printer. We have created the face artefacts using two different printers, which include laser and inkjet printers. Further, we have also evaluated the state-of-the-art PAD algorithms that are widely employed in conventional face PAD systems. Our study reveals the vulnerability of extended Multispectral face recognition system with respect to the print attack. The results obtained using state-of-the-art PAD algorithms further indicate the challenge to detect the presentation attacks in extended Multispectral face recognition systems.","PeriodicalId":436086,"journal":{"name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"317 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393313","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: 43

Template ageing and quality analysis in time-span separated fingerprint data 时间跨度分离指纹数据的模板老化与质量分析

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947680

Simon Kirchgasser, A. Uhl

引用次数: 6

An enhanced statistical approach for median filtering detection using difference image 差分图像中值滤波检测的改进统计方法

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947704

Hardik Jain, Joydeep Das, H. Verma, N. Khanna

引用次数: 2

Automatic speech emotion detection system using multi-domain acoustic feature selection and classification models 基于多域声学特征选择和分类模型的语音情感自动检测系统

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947681

Nancy Semwal, Abhijeet Kumar, Sakthivel Narayanan

{"title":"Automatic speech emotion detection system using multi-domain acoustic feature selection and classification models","authors":"Nancy Semwal, Abhijeet Kumar, Sakthivel Narayanan","doi":"10.1109/ISBA.2017.7947681","DOIUrl":"https://doi.org/10.1109/ISBA.2017.7947681","url":null,"abstract":"Emotions exhibited by a speaker can be detected by analyzing his/her speech, facial expressions and gestures or by combining these properties. This paper concentrates on determining the emotional state from speech signals. Various acoustic features such as energy, zero crossing rate(ZCR), fundamental frequency, Mel Frequency Cepstral Coefficients (MFCCs), etc are extracted for short term, overlapping frames derived from the speech signal. A feature vector for every utterance is then constructed by analyzing the global statistics (mean, median, etc) of the extracted features over all frames. To select a subset of useful features from the full candidate feature vector, sequential backward selection (SBS) method is used with k-fold cross validation. Detection of emotion in the samples is done by classifying their respective feature vectors into classes, using either a pre-trained Support Vector Machine (SVM) model or Linear Discriminant Analysis (LDA) classifier. This approach is tested with two acted emotional databases - Berlin Database of Emotional Speech (EmoDB), and BML Emotion Database (RED). For multi class classification, accuracy of 80% for EmoDB and 73% for RED is achieved which are higher than or comparable to previous works on both the databases.","PeriodicalId":436086,"journal":{"name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128000318","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: 23

Constraint patch matching for faster person re-identification 约束贴片匹配，加快人员再识别

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947703

Aske R. Lejbølle, Kamal Nasrollahi, T. Moeslund

{"title":"Constraint patch matching for faster person re-identification","authors":"Aske R. Lejbølle, Kamal Nasrollahi, T. Moeslund","doi":"10.1109/ISBA.2017.7947703","DOIUrl":"https://doi.org/10.1109/ISBA.2017.7947703","url":null,"abstract":"In person re-identification, it is of great importance to extract very discriminative features in order to distinguish between images of different persons captured in different camera views. Features can be extracted globally from the entire or parts of the image, or locally from patches. As a result, matching can either be done using global feature descriptors or local patch features with the latter being more computationally heavy due to the number of patch pairs to match. Horizontal constraints are therefore usually added to only match patches at same horizontal location. As an extension, we propose an algorithm which adds vertical constraints to different body parts, to increase accuracy and decrease processing time. The constraints are applied to the CVPDL system by Li et al. [13] in order to compare accuracy with the use of a foreground mask and processing time when only adding horizontal constraints. We refer to our constrained CVPDL as C-CVPDL. Experiments conducted on two datasets, VIPeR and CUHK01, show C-CVPDL to achieve similar rank-1 accuracy on VIPeR while improving rank-1 accuracy by 3.83% for CUHK01 compared to CVPDL. Furthermore, experimental results on CUHK03 show a rank-1 accuracy 52.05%, being comparable to state-of-the-art CNN's and beating other patch matching systems. Finally, timings for VIPeR and CUHK01 show our constraints to decrease time by 32.77% and 37%, respectively, while only taking up to 36ms to compute per person.","PeriodicalId":436086,"journal":{"name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","volume":"458 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133503671","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: 0

A novel palmprint recognition system using patch based filter response 基于贴片滤波响应的掌纹识别系统

2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) Pub Date : 2017-02-01 DOI: 10.1109/ISBA.2017.7947688

Saiyed Umer, B. Dhara, B. Chanda

引用次数: 3