2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)最新文献_第2页

Computationally efficient statistical face model in the feature space 计算效率高的特征空间统计人脸模型

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015453

Mohammad Haghighat, M. Abdel-Mottaleb, W. Alhalabi

引用次数: 2

Adaptive multi-stream score fusion for illumination invariant face recognition 光照不变人脸识别的自适应多流分数融合

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015449

M. Sultana, M. Gavrilova, R. Alhajj, S. Yanushkevich

{"title":"Adaptive multi-stream score fusion for illumination invariant face recognition","authors":"M. Sultana, M. Gavrilova, R. Alhajj, S. Yanushkevich","doi":"10.1109/CIBIM.2014.7015449","DOIUrl":"https://doi.org/10.1109/CIBIM.2014.7015449","url":null,"abstract":"Quality variations of samples significantly affect the performance of biometric recognition systems. In case of face recognition systems, illumination degradation is the most common contributor of enormous intra-class variation. Wavelet transforms are very popular techniques for face or object recognition from images due to their illumination insensitiveness. However, low and high frequency subbands of wavelet transforms do not possess equal insensitiveness to different degree of illumination change. In this paper, we investigated the illumination insensitiveness of the subbands of Dual-Tree Complex Wavelet Transform (DTCWT) at different scales. Based on the investigations, a novel face recognition system has been proposed using weighted fusion of low and high frequency subbands that can adapt extensive illumination variations and produces high recognition rate even with a single sample. A novel fuzzy weighting scheme has been proposed to determine the adaptive weights during uncertain illuminations conditions. In addition, an adaptive normalization approach has been applied for illumination quality enhancement of the poor lit samples while retaining the quality of good samples. The performance of the proposed adaptive method has been evaluated on Extended Yale B and AR face databases. Experimental results exhibit significant performance improvement of the proposed adaptive face recognition approach over benchmark methods under extensive illumination change.","PeriodicalId":432938,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619763","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

Subregion mosaicking applied to nonideal iris recognition 子区域镶嵌技术在非理想虹膜识别中的应用

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015455

Tao Yang, J. Stahl, S. Schuckers, Fang Hua

引用次数: 6

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015457

Hengyi Zhang, Chaoying Tang, X. Li, A. Kong

{"title":"A study of similarity between genetically identical body vein patterns","authors":"Hengyi Zhang, Chaoying Tang, X. Li, A. Kong","doi":"10.1109/CIBIM.2014.7015457","DOIUrl":"https://doi.org/10.1109/CIBIM.2014.7015457","url":null,"abstract":"Vein patterns have been used in commercial biometric systems for many years and are recently considered for criminal authentication. Understanding the similarity between genetically identical vein patterns is important, especially when using them in legal cases involving identical twins. Vein patterns sharing the same Deoxyribonucleic acid (DNA) sequence are generally regarded as vein patterns with maximum similarity. If they are completely distinguishable, it implies that the uniqueness of vein patterns is high. Though the genetic dependence of other biometric traits, including fingerprints, faces, palmprints, and irises, have been studied, genetically identical vein patterns have not been studied systematically. With the help of an automatic vein pattern matching algorithm, this paper analyzes and measures the similarity between genetically identical vein patterns. 234 genetically identical forearm pairs and 204 genetically identical thigh pairs were collected for this study. Experimental results indicate that genetically identical vein patterns have extra similarity, but they are distinguishable.","PeriodicalId":432938,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127299617","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: 11

A new wrist vein biometric system 一种新的腕部静脉生物识别系统

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015445

Abhijit Das, U. Pal, M. A. Ferrer-Ballester, M. Blumenstein

引用次数: 25

Offline signature-based fuzzy vault: A review and new results 基于离线签名的模糊保险库:综述及新成果

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015442

George S. Eskander, R. Sabourin, Eric Granger

{"title":"Offline signature-based fuzzy vault: A review and new results","authors":"George S. Eskander, R. Sabourin, Eric Granger","doi":"10.1109/CIBIM.2014.7015442","DOIUrl":"https://doi.org/10.1109/CIBIM.2014.7015442","url":null,"abstract":"An offline signature-based fuzzy vault (OSFV) is a bio-cryptographic implementation that uses handwritten signature images as biometrics instead of traditional passwords to secure private cryptographic keys. Having a reliable OSFV implementation is the first step towards automating financial and legal authentication processes, as it provides greater security of sensitive documents by means of the embedded handwritten signatures. The authors have recently proposed the first OSFV implementation, where a machine learning approach based on the dissimilarity representation concept is employed to select a reliable feature representation adapted for the fuzzy vault scheme. In this paper, some variants of this system are proposed for enhanced accuracy and security. In particular, a new method that adapts user key size is presented. Performance of proposed methods are compared using the Brazilian PUCPR and GPDS signature databases and results indicate that the key-size adaptation method achieves a good compromise between security and accuracy. As the average system entropy is increased from 45-bits to about 51-bits, the AER (average error rate) is decreased by about 21%.","PeriodicalId":432938,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134202101","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

Automated border control: Problem formalization 自动边界控制:问题形式化

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015452

D. Gorodnichy, S. Yanushkevich, V. Shmerko

{"title":"Automated border control: Problem formalization","authors":"D. Gorodnichy, S. Yanushkevich, V. Shmerko","doi":"10.1109/CIBIM.2014.7015452","DOIUrl":"https://doi.org/10.1109/CIBIM.2014.7015452","url":null,"abstract":"This paper introduces a formalization of the Automated Border Control (ABC) machines deployed worldwide as part of the eBorder infrastructure for automated traveller clearance. Proposed formalization includes classification of the eBorder technologies, definition of the basic components of the ABC machines, identification of their key properties, establishment of metrics for their evaluation and comparison, as well as development of a dedicated architecture based on the assistant-based concept. Specifically, three generations of the ABC machines are identified: Gen-1 ABC machines which are biometric enabled kiosks, such as Canada's NEXUS or UK IRIS, to process low-risk pre-enrolled travellers; Gen-2 ABC machines which are eGate systems to serve travellers with biometric eID / ePassports; and Gen-3 ABC machines that will be working to support the eBorder process of the future. These ABC machines are compared in this paper based on certain criteria, such as availability of the dedicated architectural components, and in terms of the life-cycle performance metrics. This paper addresses the related problems of deployment and evaluation of the ABC technologies and machines, including the vulnerability analysis and strategic planning of the eBorder infrastructure.","PeriodicalId":432938,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130359012","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

Authentication system using behavioral biometrics through keystroke dynamics 认证系统使用行为生物识别通过击键动力学

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015461

Diego D. Alves, G. Cruz, C. Vinhal

引用次数: 9

TARC: A novel score fusion scheme for multimodal biometric systems TARC：多模态生物识别系统的新型分数融合方案

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015443

Kamlesh Tiwari, A. Nigam, Phalguni Gupta

引用次数: 5

A preliminary report on a full-body imaging system for effectively collecting and processing biometric traits of prisoners 关于有效收集和处理囚犯生物特征的全身成像系统的初步报告

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI: 10.1109/CIBIM.2014.7015459

Nhat Quang Huynh, Xingpeng Xu, A. Kong, S. Subbiah

{"title":"A preliminary report on a full-body imaging system for effectively collecting and processing biometric traits of prisoners","authors":"Nhat Quang Huynh, Xingpeng Xu, A. Kong, S. Subbiah","doi":"10.1109/CIBIM.2014.7015459","DOIUrl":"https://doi.org/10.1109/CIBIM.2014.7015459","url":null,"abstract":"Because of recent advances in imaging technology, the use of image-based evidences, such as faces and tattoos, is increasing dramatically. Face and tattoo images of prisoners are collected regularly for suspect image database establishment. New biometric traits such as skin marks, androgenic hairs, and blood vessels hidden in color images are getting more attention because they are shown to be useful for criminal and victim identification, especially when their faces and tattoos are neither observable nor available. The current manual approach of collecting images of prisoners is extremely time consuming and does not record these new biometric traits. To address this problem, an unprecedented full-body imaging system is developed. Furthermore, an automatic and systematic routine based on the system for effectively collecting prisoners' images is proposed. This paper concentrates on the system hardware design as well as its image collecting and processing capability. The system has been used to collect and process more than 30,000 infrared and color images from 188 subjects. Its performance is very encouraging.","PeriodicalId":432938,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127087741","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: 11