2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)最新文献_第2页

Impact of watermarking on offline signature verification in intelligent bio-watermarking systems 智能生物水印系统中水印对离线签名验证的影响

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949206

Bassem S. Rabil, R. Sabourin, Eric Granger

{"title":"Impact of watermarking on offline signature verification in intelligent bio-watermarking systems","authors":"Bassem S. Rabil, R. Sabourin, Eric Granger","doi":"10.1109/CIBIM.2011.5949206","DOIUrl":"https://doi.org/10.1109/CIBIM.2011.5949206","url":null,"abstract":"Bio-watermarking systems were introduced as the synergistic integration of biometrics and digital watermarking to assure the integrity, authenticity and confidentiality of digitized image documents, and biometric templates. In this paper, the impact of watermarking attacks on the performance of offline signature verification is assessed in the context of intelligent bio-watermarking systems. The considered system is based on incremental learning computational intelligence, and multi-objective formulation that allows optimizing parameters according to watermark quality and robustness simultaneously. In this study, Extended Shadow Code features are extracted from digitized offline signatures, collected into feature vectors, and discretized into binary watermarks prior to being embedded into high resolution grayscale face image. The impact on biometric verification performance of quantization and different intensities of attacks are considered, and also observed the impact of using only certain areas of face images of higher texture Region Of Interest (ROI) for embedding the watermark. Experimental results conclude the optimal discretization, and better watermark fitness and verification performance when embedding in ROI. To improve the performance in future research, the authors propose to embed more reference signatures, use efficient ROI identification techniques, and finally novel formulation to add biometrics verification fitness to the watermark quality and robustness fitness during embedding optimization. The proposed system can be applied for verifying individuals crossing borders using offline signatures, or protecting biometric templates.","PeriodicalId":396721,"journal":{"name":"2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153398","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

Multi-angle sclera recognition system 多角度巩膜识别系统

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949225

Zhi Zhou, S. Member, E. Du, Senior Member, N. L. Thomas, E. Delp

引用次数: 36

UBEAR: A dataset of ear images captured on-the-move in uncontrolled conditions UBEAR:在不受控制的条件下捕捉移动中的耳朵图像的数据集

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949208

Rui Raposo, Edmundo Hoyle, Adolfo Peixinho, Hugo Proença

引用次数: 48

Using fuzzy adaptive fusion in face detection 模糊自适应融合在人脸检测中的应用

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949217

Q. Xiao

引用次数: 4

Human asymmetry in multibiometric recognition 多生物特征识别中的人体不对称性

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949214

Rodolfo Vertamatti, M. A. Ramírez

引用次数: 1

Belief network design for biometric systems 生物识别系统的信念网络设计

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949227

S. Yanushkevich

引用次数: 4

A neural-based minutiae pair identification method for touch-less fingerprint images 一种基于神经的非触摸指纹图像细节对识别方法

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949224

R. D. Labati, V. Piuri, F. Scotti

{"title":"A neural-based minutiae pair identification method for touch-less fingerprint images","authors":"R. D. Labati, V. Piuri, F. Scotti","doi":"10.1109/CIBIM.2011.5949224","DOIUrl":"https://doi.org/10.1109/CIBIM.2011.5949224","url":null,"abstract":"Contact-based sensors are the traditional devices used to capture fingerprint images in commercial and homeland security applications. Contact-less systems achieve the fingerprint capture by vision systems avoiding that users touch any parts of the biometric device. Typically, the finger is placed in the working area of an optics system coupled with a CCD module. The captured light pattern on the finger is related to the real ridges and valleys of the user fingertip, but the obtained images present important differences from the traditional fingerprint images. These differences are related to multiple factors such as light, focus, blur, and the color of the skin. Unfortunately, the identity comparison methods designed for fingerprint images captured with touch-based sensors do not obtain sufficient accuracy when are directly applied to touch-less images. Recent works show that multiple views analysis and 3D reconstruction can enhance the final biometric accuracy of such systems. In this paper we propose a new method for the identification of the minutiae pairs between two views of the same finger, an important step in the 3D reconstruction of the fingerprint template. The method is divisible in the sequent tasks: first, an image preprocessing step is performed; second, a set of candidate minutiae pairs is selected in the two images, then a list of candidate pairs is created; last, a set of local features centered around the two minutiae is produced and processed by a classifier based on a trained neural network. The output of the system is the list of the minutiae pairs present in the input images. Experiments show that the method is feasible and accurate in different light conditions and setup configurations.","PeriodicalId":396721,"journal":{"name":"2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410857","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: 29

Parameter management schemes for cancelable biometrics 可取消生物识别的参数管理方案

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949210

Kenta Takahashi, Shinji Hirata

引用次数: 19

Convolution approach for feature detection in topological skeletons obtained from vascular patterns 从血管模式中获得的拓扑骨架特征检测的卷积方法

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949223

M. Olsen, Daniel Hartung, C. Busch, R. Larsen

{"title":"Convolution approach for feature detection in topological skeletons obtained from vascular patterns","authors":"M. Olsen, Daniel Hartung, C. Busch, R. Larsen","doi":"10.1109/CIBIM.2011.5949223","DOIUrl":"https://doi.org/10.1109/CIBIM.2011.5949223","url":null,"abstract":"In image processing connected structures can be reduced to an abstract binary skeleton. These skeletons are 1-pixel wide structures which retain the topology of the segmented image. They are used for computer vision, edge detection or high level feature extraction for example in biometric systems. In this paper a fast method on how to extract specific feature points from skeletonized structures is presented. The convolution of the skeleton image with a bi-dimensional mask of size M×N enables us to identify arbitrary structures of the mask size in the skeleton. Of special interest are branch and endpoints of the skeletons to get high level features for biometric comparisons. The problem can here be reduced to the following: in an 8-connected skeleton within a 3×3 mask there are 8 structures that correspond to endpoints and 18 to branch points. After applying the convolution, the search for feature points corresponds to finding the 26 different filter response values in the resulting signal. We describe how the convolution approach is applied to biometric vein recognition systems and show that our approach yields a 430% speedup when compared to the crossing number approach used in ANSI/NIST.","PeriodicalId":396721,"journal":{"name":"2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114302948","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: 33

A SVM-based model for the evaluation of biometric sample quality 基于支持向量机的生物特征样本质量评价模型

2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2011-04-11 DOI: 10.1109/CIBIM.2011.5949212

Mohamad El-Abed, R. Giot, B. Hemery, C. Charrier, C. Rosenberger

引用次数: 9