2013 International Workshop on Biometrics and Forensics (IWBF)最新文献

Assessment of gait recognition based on the lower part of the human body 基于下半身的步态识别评估

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547321

Silvia Gabriel-Sanz, R. Vera-Rodríguez, Pedro Tome, Julian Fierrez

引用次数: 8

Composite score normalization for face verification 人脸验证的综合评分归一化

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547307

V. Štruc, N. Pavesic, J. Zganec-Gros

引用次数: 2

Survey on fingerprint liveness detection 指纹活性检测研究进展

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547309

Amani A. Al-Ajlan

引用次数: 29

Robust face recognition with occlusions in both reference and query images 基于参考图像和查询图像遮挡的鲁棒人脸识别

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547305

Xingjie Wei, Chang-Tsun Li, Yongjian Hu

引用次数: 10

On the use of spectral minutiae in high-resolution palmprint recognition 光谱细节在高分辨率掌纹识别中的应用

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547308

Ruifang Wang, R. Veldhuis, D. Ramos, L. Spreeuwers, Julian Fierrez, Hai-yun Xu

{"title":"On the use of spectral minutiae in high-resolution palmprint recognition","authors":"Ruifang Wang, R. Veldhuis, D. Ramos, L. Spreeuwers, Julian Fierrez, Hai-yun Xu","doi":"10.1109/IWBF.2013.6547308","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547308","url":null,"abstract":"The spectral minutiae representation has been proposed as a novel method to minutiae-based fingerprint recognition, which can handle minutiae translation and rotation and improve matching speed. As high-resolution palmprint recognition is also mainly based on minutiae sets, we apply spectral minutiae representation to palmprints and implement spectral minutiae based matching. We optimize key parameters for the method by experimental study on the characteristics of spectral minutiae using both fingerprints and palmprints. However, experimental results show that spectral minutiae representation has much worse performance for palmprints than that for fingerprints. EER 15.89% and 14.2% are achieved on the public high-resolution palmprint database THUPALMLAB using location-based spectral minutiae representation (SML) and the complex spectral minutiae representation (SMC) respectively while 5.1% and 3.05% on FVC2002 DB2A fingerprint database. Based on statistical analysis, we find the worse performance for palmprints mainly due to larger non-linear distortion and much larger number of minutiae.","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133813784","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: 4

Improved rotation-invariant degraded partial palmprint recognition technique 改进的旋转不变性退化部分掌纹识别技术

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547318

Sanchit Singh, P. Correia, Luís Ducla Soares

引用次数: 8

3D gender recognition using cognitive modeling 使用认知建模的三维性别识别

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547324

Jens Fagertun, Tobias Andersen, Thomas F. Hansen, R. Paulsen

引用次数: 0

High quality training materials to detect printed fingerprints: Benchmarking three different aquisition sensors producing printing templates 用于检测打印指纹的高质量培训材料:对生成打印模板的三种不同采集传感器进行基准测试

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547315

J. Sturm, M. Hildebrandt, J. Dittmann, C. Vielhauer

{"title":"High quality training materials to detect printed fingerprints: Benchmarking three different aquisition sensors producing printing templates","authors":"J. Sturm, M. Hildebrandt, J. Dittmann, C. Vielhauer","doi":"10.1109/IWBF.2013.6547315","DOIUrl":"https://doi.org/10.1109/IWBF.2013.6547315","url":null,"abstract":"Schwarz's technique for printing amino acid solutions introduces the possibility of printing large quantities of latent fingerprints for crime scene investigation quality assurance. Nevertheless his technique also unintentionally creates the possibility of leaving printed fingerprints at crime scenes. To help identify those false fingerprints, in our paper we extend the printing pipeline, for training investigators and detection methods. Furthermore, we propose subjective and objective evaluation approaches and first tendencies for boundary ranges for objective evaluation metrics. In particular we use digitized real latent fingerprints as printing source (= template) and different contactless sensors (two different chromatic white light sensors, FRT CWL 600, FRT CWL 1mm, and a confocal microscope Keyence VK-X105) for their acquisition. For the examination of the printed fingerprints one subjective and two objective evaluation approaches are introduced as well as a first tendency for boundary ranges of the objective approach. A Canon PIXMA IP 4600 is used for printing and the Keyence VK-X105 acquires the untreated printed fingerprints. Our benchmarking results show that the acquisition sensor Keyence VK-X105 leads to the highest quality of printed fingerprints. In respect to the boundary ranges our suggested first tendency is: correlation value with 20x-objective: Best = [0,...,0.1150], Average = [0.1151,...,0.1258], Worst = [0.1259,...,1]. With 50x-objective: Best = [0,...,0.1299], Average = [0.1300,..., 0.1443], Worst = [0.1444,...,1]. And for the average value with 20x-objective: Best = [0,...,0.0171], Average = [0.0172,...,0.0260], Worst = [0.0261,...,1]. And with 50x-objective: Best = [0,...,0.0299], Average = [0.0300,...,0.0470], Worst = [0.0471,...,1].","PeriodicalId":412596,"journal":{"name":"2013 International Workshop on Biometrics and Forensics (IWBF)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408312","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

Unambiguous interpolation rate estimation in uncompressed resized color digital images 非压缩调整大小彩色数字图像的无二义插值率估计

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547314

Jesus Valera, N. García

引用次数: 1

Person identification from actions based on dynemes and discriminant learning 基于动力和判别学习的行为识别

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI: 10.1109/IWBF.2013.6547320

Alexandros Iosifidis, A. Tefas, I. Pitas

引用次数: 7