2nd International Workshop on Biometrics and Forensics最新文献

On high resolution palmprint matching 关于高分辨率掌纹匹配

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914247

L. Carreira, P. Correia, Luís Ducla Soares

引用次数: 5

Fingerprint sample quality assessment via ridge line count using Laplacian of Gaussian edge finding 基于拉普拉斯高斯边缘查找的脊线计数指纹样本质量评估

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914239

M. Dusio, M. Olsen, C. Busch

引用次数: 6

A correlation method for handling infrequent data in keystroke biometric systems 一种处理击键生物识别系统中不频繁数据的相关方法

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914264

Steve Kim, Sung-Hyuk Cha, John V. Monaco, C. Tappert

引用次数: 1

Forensic sensor quality evaluation: Towards objective visual quality indices for contact-less fingerprint and fiber traces 法医传感器质量评价:探讨非接触指纹和纤维痕迹的客观视觉质量指标

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914242

Stefan Kiltz, J. Dittmann, C. Vielhauer

{"title":"Forensic sensor quality evaluation: Towards objective visual quality indices for contact-less fingerprint and fiber traces","authors":"Stefan Kiltz, J. Dittmann, C. Vielhauer","doi":"10.1109/IWBF.2014.6914242","DOIUrl":"https://doi.org/10.1109/IWBF.2014.6914242","url":null,"abstract":"Testability and error rates are fundamental requirements for forensic investigations methods. For digitized forensics (e.g. fingerprint or fiber traces) signal processing and pattern recognition concepts are used. The quality of the acquisition process is sparsely researched. In our article we outline a first approach to address this and to open the discussion about the general challenge. We propose using Visual Quality Indices (VQI) as objective measure to compare scanned (digitized) traces for 3 different 3D contactless sensors (in-tensity + topography data) and 1 sensor with spectrometer-based wavelength output. We propose a fitness matrix containing VQI results for trace data acquired for each sensor and suggest using the number of outliers (non-occupied elements of the main diagonal) as fitness measure. We compare 182 data sets using 4 contactless sensors for 2 consecutive scans of 13 traces (3 fingerprints + 10 fibers, with 78 intensity and 78 topography data sets for the three 3D sensors and 26 for the spectography-based wavelength output). We compare the 2 consecutive scans vice versa by computing VQIs for all 7 outputs (intensity, topography and wavelength output) per trace, yielding 196 (14×14) single comparisons per trace and VQI (in all 356720 comparisons). We research the best performing VQIs to select intra-sensor, intra-trace data from intra- and inter-sensor data, giving a starting point for further inter-sensor investigations. Our research shows the Luminance Similarity Score (LSS) performing best in intra-sensor, intra-trace scenarios for fingerprint traces and Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and PSNR in the YUV Color Space (PSNRY) equally performing best for synthetic fiber traces as a first result for further discussion.","PeriodicalId":217178,"journal":{"name":"2nd International Workshop on Biometrics and Forensics","volume":"23 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211112","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

Towards practical space-variant based face recognition and authentication 面向实用的基于空间变型的人脸识别与认证

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914258

E. Grosso, A. Lagorio, Luca Pulina, M. Tistarelli

引用次数: 2

Binarized statistical features for improved iris and periocular recognition in visible spectrum 改进虹膜和眼周可见光谱识别的二值化统计特征

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914249

K. Raja, Ramachandra Raghavendra, C. Busch

{"title":"Binarized statistical features for improved iris and periocular recognition in visible spectrum","authors":"K. Raja, Ramachandra Raghavendra, C. Busch","doi":"10.1109/IWBF.2014.6914249","DOIUrl":"https://doi.org/10.1109/IWBF.2014.6914249","url":null,"abstract":"Visible spectrum iris verification has drawn substantial attention due to the feasibility, convenience and also accepted performance. This further allows one to perform the iris verification in an unconstrained environment at-a-distance and on the move. The integral part of the visible iris recognition rely on the accurate texture representation algorithm that can effectively capture the uniqueness of the texture even in the challenging conditions like reflection, illumination among others. In this paper, we explore a new scheme for the robust visible iris verification based on Binarized Statistical Image Features (BSIF). The core idea of the BSIF descriptor is to compute the binary code for each pixel by projecting them on the subspace which is learned from natural images using Independent Component Analysis (ICA). Thus, the BSIF is expected to encode the texture features more robustly when compared to contemporary schemes like Local Binary Patterns and its variants. The extensive experiments are carried out on the visible iris dataset captured using both Light field and conventional camera. The proposed feature extraction method is also extended for enhanced periocular recognition. Finally, we also present a comparative analysis with popular state-of-the-art iris recognition scheme.","PeriodicalId":217178,"journal":{"name":"2nd International Workshop on Biometrics and Forensics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114779483","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: 51

Integrating ocular and iris descriptors for fake iris image detection 结合眼部和虹膜描述符的假虹膜图像检测

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914251

Chun-Wei Tan, Ajay Kumar

引用次数: 22

View transformation-based cross-view gait recognition using transformation consistency measure 基于视点变换的跨视点步态识别

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914253

D. Muramatsu, Yasushi Makihara, Y. Yagi

引用次数: 4

Subspace clustering applied to face images 子空间聚类在人脸图像中的应用

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914256

Constantine Kotropoulos, Konstantinos Pitas

引用次数: 1

Context analysis of artificial sweat printed fingerprint forgeries: Assessment of properties for forgery detection 人工汗印指纹伪造的背景分析:伪造检测的特性评估

2nd International Workshop on Biometrics and Forensics Pub Date : 2014-03-27 DOI: 10.1109/IWBF.2014.6914246

J. Dittmann, M. Hildebrandt

{"title":"Context analysis of artificial sweat printed fingerprint forgeries: Assessment of properties for forgery detection","authors":"J. Dittmann, M. Hildebrandt","doi":"10.1109/IWBF.2014.6914246","DOIUrl":"https://doi.org/10.1109/IWBF.2014.6914246","url":null,"abstract":"In our paper we investigate the attack based on means of artificial sweat printed fingerprint forgeries at crime scenes by studying the attack chain in general and derive potential context properties from the attack, which help to describe the attack more precisely. Based on the attack chain context properties, potential detection and context anomaly properties are derived and suggested as an enabler for proper detection of such forgeries for forensic experts during forensic investigation and interpretation of traces. It is a first study for the discussion with the community to motivate further work addressing open issues in this domain of crime scene forgery detection. Potential means known from biometric analysis as well as from media forensics are included to enhance forensic trace interpretation. In summary, our first systematic study includes a four-step attack chain, 14 main attack context properties (to describe the attack) and 15 correspondingly derived detection and anomaly properties for the forensic expert usage. A first simulation of the application for two exemplary attacks (A and B) shows, how our defined properties can be used, from two viewpoints: which one of properties has the particular attack and which properties might help to identify the trace as a artificial sweat printed fingerprint forgery during investigation of the trace during forensic interpretation (without prior knowing the existence of the attack).","PeriodicalId":217178,"journal":{"name":"2nd International Workshop on Biometrics and Forensics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123956219","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