2011 International Joint Conference on Biometrics (IJCB)最新文献_第9页

Latent fingerprint enhancement via robust orientation field estimation 基于鲁棒方向场估计的潜在指纹增强

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117482

Soweon Yoon, Jianjiang Feng, Anil K. Jain

引用次数: 100

A comparative evaluation of iris and ocular recognition methods on challenging ocular images 虹膜和眼识别方法在挑战性眼图像上的比较评价

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117500

Vishnu Naresh Boddeti, J. Smereka, B. Kumar

引用次数: 44

3D to 2D fingerprints: Unrolling and distortion correction 3D到2D指纹:展开和失真校正

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117585

Qijun Zhao, Anil K. Jain, G. Abramovich

{"title":"3D to 2D fingerprints: Unrolling and distortion correction","authors":"Qijun Zhao, Anil K. Jain, G. Abramovich","doi":"10.1109/IJCB.2011.6117585","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117585","url":null,"abstract":"Touchless 3D fingerprint sensors can capture both 3D depth information and albedo images of the finger surface. Compared with 2D fingerprint images acquired by traditional contact-based fingerprint sensors, the 3D fingerprints are generally free from the distortion caused by non-uniform pressure and undesirable motion of the finger. Several unrolling algorithms have been proposed for virtual rolling of 3D fingerprints to obtain 2D equivalent fingerprints, so that they can be matched with the legacy 2D fingerprint databases. However, available unrolling algorithms do not consider the impact of distortion that is typically present in the legacy 2D fingerprint images. In this paper, we conduct a comparative study of representative unrolling algorithms and propose an effective approach to incorporate distortion into the unrolling process. The 3D fingerprint database was acquired by using a 3D fingerprint sensor being developed by the General Electric Global Research. By matching the 2D equivalent fingerprints with the corresponding 2D fingerprints collected with a commercial contact-based fingerprint sensor, we show that the compatibility between the 2D unrolled fingerprints and the traditional contact-based 2D fingerprints is improved after incorporating the distortion into the unrolling process.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134042239","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: 31

Robust face recognition with class dependent factor analysis 基于类相关因子分析的鲁棒人脸识别

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117508

B. Tunç, Volkan Dagli, M. Gökmen

引用次数: 6

Robustness of multi-modal biometric verification systems under realistic spoofing attacks 多模态生物识别验证系统在真实欺骗攻击下的鲁棒性

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117474

B. Biggio, Z. Akhtar, G. Fumera, G. Marcialis, F. Roli

引用次数: 27

Fundamental statistics of relatively permanent pigmented or vascular skin marks for criminal and victim identification 用于罪犯和受害者识别的相对永久的色素或血管皮肤标记的基本统计

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117496

A. Nurhudatiana, A. Kong, Keyan Matinpour, Siu-Yeung Cho, N. Craft

{"title":"Fundamental statistics of relatively permanent pigmented or vascular skin marks for criminal and victim identification","authors":"A. Nurhudatiana, A. Kong, Keyan Matinpour, Siu-Yeung Cho, N. Craft","doi":"10.1109/IJCB.2011.6117496","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117496","url":null,"abstract":"Recent technological advances have allowed for a proliferation of digital images that may be involved in crimes. Using these images as evidence in legal cases like child pornography and masked gunmen can be challenging because usually the faces of the suspects are not visible. To perform personal identification in these images, we propose a biometric trait composed of a group of skin marks including, but not limited to, nevi, lentigines, cherry hemangiomas, and seborrheic keratoses. Due to their biological characteristics, we have grouped these as “Relatively Permanent Pigmented or Vascular Skin Marks,” abbreviated as RPPVSM. As statistical study of RPPVSM is essential before investigating their discriminative power, we present in this paper the fundamental statistics of RPPVSM. Back torso images were collected from 144 Caucasian, Asian, and Latino males, and a researcher trained in dermatology manually identified their RPPVSMs. The statistical results show that Caucasians tend to have more RPPVSMs than Asians and Latinos, and over 80 percent of middle to low density RPPVSM patterns are independently and uniformly distributed.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114182773","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: 18

Difficult imaging covariates or difficult subjects? - An empirical investigation 困难的成像协变量还是困难的受试者?——实证调查

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117551

Jeffrey R. Paone, S. Biswas, G. Aggarwal, P. Flynn

{"title":"Difficult imaging covariates or difficult subjects? - An empirical investigation","authors":"Jeffrey R. Paone, S. Biswas, G. Aggarwal, P. Flynn","doi":"10.1109/IJCB.2011.6117551","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117551","url":null,"abstract":"The performance of face recognition algorithms is affected both by external factors and internal subject characteristics [1]. Reliably identifying these factors and understanding their behavior on performance can potentially serve two important goals - to predict the performance of the algorithms at novel deployment sites and to design appropriate acquisition environments at prospective sites to optimize performance. There have been a few recent efforts in this direction that focus on identifying factors that affect face recognition performance but there has been no extensive study regarding the consistency of the effects various factors have on algorithms when other covariates vary. To give an example, a smiling target image has been reported to be better than a neutral expression image, but is this true across all possible illumination conditions, head poses, gender, etc.? In this paper, we perform rigorous experiments to provide answers to such questions. Our investigation indicates that controlled lighting and smiling expression are the most favorable conditions that consistently give superior performance even when other factors are allowed to vary. We also observe that internal subject characterization using biometric menagerie-based classification shows very weak consistency when external conditions are allowed to vary.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180885","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: 7

Symmetric surface-feature based 3D face recognition for partial data 基于对称表面特征的局部数据三维人脸识别

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117539

D. Smeets, J. Keustermans, Jeroen Hermans, P. Claes, D. Vandermeulen, P. Suetens

{"title":"Symmetric surface-feature based 3D face recognition for partial data","authors":"D. Smeets, J. Keustermans, Jeroen Hermans, P. Claes, D. Vandermeulen, P. Suetens","doi":"10.1109/IJCB.2011.6117539","DOIUrl":"https://doi.org/10.1109/IJCB.2011.6117539","url":null,"abstract":"Since most 3D cameras cannot capture the complete 3D face, an important challenge in 3D face recognition is the comparison of two 3D facial surfaces with little or no overlap. In this paper, a local feature method is presented to tackle this challenge exploiting the symmetry of the human face. Features are located and described using an extension of SIFT for meshes (meshSIFT). As such, features are localized as extrema in the curvature scale space of the input mesh, and are described by concatenating histograms of shape indices and slant angles of the neighborhood. For 3D face scans with sufficient overlap, the number of matching meshSIFT features is a reliable measure for face recognition purposes. However, as the feature descriptor is not symmetrical, features on one face are not matched with their symmetrical counterpart on another face impeding their feasibility for comparison of face scans with limited or no (left-right) overlap. In order to alleviate this problem, facial symmetry could be used to increase the overlap between two face scans by mirroring one of both faces w.r.t. an arbitrary plane. As this would increase the computational demand, this paper proposes an efficient approach to describe the features of a mirrored face by mirroring the mesh-SIFT descriptors of the input face. The presented method is validated on the data of the “SHREC '11: Face Scans” contest, containing many partial scans. This resulted in a recognition rate of 98.6% and a mean average precision of 93.3%, clearly outperforming all other participants in the challenge.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125775715","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: 15

Fast and accurate biometric identification using score level indexing and fusion 使用分数水平索引和融合快速准确的生物特征识别

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117591

Takao Murakami, Kenta Takahashi

引用次数: 22

Retina features based on vessel graph substructures 基于血管图子结构的视网膜特征

2011 International Joint Conference on Biometrics (IJCB) Pub Date : 2011-10-11 DOI: 10.1109/IJCB.2011.6117506

A. Arakala, Stephen A. Davis, K. Horadam

引用次数: 19