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International Conference on Biometrics Engineering and Application最新文献

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Cancellable Fingerprint Template Generation Using Rectangle-Based Adjoining Minutiae Pairs 基于矩形相邻特征对的可取消指纹模板生成
International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230826
Mahesh Kumar Morampudi, M. Prasad, U. S. N. Raju
{"title":"Cancellable Fingerprint Template Generation Using Rectangle-Based Adjoining Minutiae Pairs","authors":"Mahesh Kumar Morampudi, M. Prasad, U. S. N. Raju","doi":"10.1145/3230820.3230826","DOIUrl":"https://doi.org/10.1145/3230820.3230826","url":null,"abstract":"Cancellable fingerprint templates effectively protect original fingerprint data by revoking an accorded template and reissuing a new template. Alignment-free cancellable templates require no image pre-alignment and therefore does not go through from inaccurate singular point detection. In our proposed method, we focused on generating a cancellable template which is alignment-free. The template is generated by the building of R rectangles by varying the directions over every minutia succeeded by the computation of translation invariant and rotation invariant adjoining relation. The computed feature set is quantized & mapped into a cube to produce a binary string. Further, we apply modulo operation on the generated bit string to get reduced bit string which mitigates the risk of the ARM (Attack via Record Multiplicity). Later, we apply Discrete Fourier Transform (DFT) to convert reduced binary string into a complex vector. The result is then multiplied by an arbitrary matrix to produce the cancellable template. We evaluated proposed scheme on databases FVC 2004 DB1-DB3 & FVC 2002 DB1-DB3 and results fulfills the conditions of Biometric Template Protection Scheme(BTPS) and it gives competitive performance(in terms of EER) when compared to existing methods.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116566577","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: 3
Wide Machine Learning Algorithms Evaluation Applied to ECG Authentication and Gender Recognition 广泛的机器学习算法评估在心电认证和性别识别中的应用
International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230830
Jose Cabra, Diego Mendez, Luis Carlos Trujillo Arboleda
{"title":"Wide Machine Learning Algorithms Evaluation Applied to ECG Authentication and Gender Recognition","authors":"Jose Cabra, Diego Mendez, Luis Carlos Trujillo Arboleda","doi":"10.1145/3230820.3230830","DOIUrl":"https://doi.org/10.1145/3230820.3230830","url":null,"abstract":"ECG signals have been widely studied for knowing heart behavior and following cardiac abnormalities. Last years have emerged new applications where ECG has being used in cryptography and biometrics. The purpose in this paper center around perform two independent experiments taking advantage of the ECG properties. The first experiment is about person authentication and the second experiment covers gender recognition. Both tests are performed extracting the same features and evaluating the classification accuracy with several machine learning algorithms sensing the ECG signals in different body positions. ECG signal contains properties like liveness detection, ubiquity, diffculty of being copied, continuity, and reclaims the mandatory user presence. These properties makes ECG study having the potential of being embedded for smartphone applications in the Internet of Things era. The best accuracy score is over the 98% for ECG authentication and 94% for gender recognition; as the best of our knowledge there is no ECG gender recognition with the algorithms studied in this paper.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114432511","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
Electroencephalogram Based Biometrics: A Fractional Fourier Transform Approach 基于脑电图的生物识别:分数傅里叶变换方法
International Conference on Biometrics Engineering and Application Pub Date : 2018-05-16 DOI: 10.1145/3230820.3230821
Sarineh Keshishzadeh, A. Fallah, S. Rashidi
{"title":"Electroencephalogram Based Biometrics: A Fractional Fourier Transform Approach","authors":"Sarineh Keshishzadeh, A. Fallah, S. Rashidi","doi":"10.1145/3230820.3230821","DOIUrl":"https://doi.org/10.1145/3230820.3230821","url":null,"abstract":"The non-stationary nature of the human Electroencephalogram (EEG) has caused problems in EEG based biometrics. Stationary signals analysis is done simply with Discrete Fourier Transform (DFT), while it is not possible to analyze non-stationary signals with DFT, as it does not have the ability to show the occurrence time of different frequency components. The Fractional Fourier Transform (FrFT), as a generalization of Fourier Transform (FT), has the ability to exhibit the variable frequency nature of non-stationary signals. In this paper, Discrete Fractional Fourier Transform (DFrFT) with different fractional orders is proposed as a novel feature extraction technique for EEG based human verification with different number of channels. The proposed method in its' best performance achieved 0.22% Equal Error Rate (EER) with three EEG channels of 104 subjects.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129767294","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: 3
Fingerprint classification based on a Q-Gaussian multiclass support vector machine 基于q -高斯多类支持向量机的指纹分类
International Conference on Biometrics Engineering and Application Pub Date : 2017-04-21 DOI: 10.1145/3077829.3077836
M. Hammad, Kuanquan Wang
{"title":"Fingerprint classification based on a Q-Gaussian multiclass support vector machine","authors":"M. Hammad, Kuanquan Wang","doi":"10.1145/3077829.3077836","DOIUrl":"https://doi.org/10.1145/3077829.3077836","url":null,"abstract":"Accurate recognition and actual classification of fingerprint are vital and necessary for fingerprint identification. Previous researchers have used many classification algorithms to develop fingerprint classification model, but they still have some certain problems like time of implementation to do the task, cost of implementation, working on non-linear features, working on multi-dimensional features and under or over learning problems. In this paper, a Q-Gaussian multi-class support vector machine (QG-MSVM) for fingerprint classification is proposed in which Q-Gaussian function is incorporated into SVM as a kernel function. The proposed method is tested in CASIA, FVC2000, FVC2002 and FVC2004 databases and compared with the MSVM methods with linear kernel, Gaussian Radial Basis Function kernel (RBF), Polynomial kernel and other state-of-the-art methods. The experimental results show that QG-MSVM demonstrates better performance than other classifiers and overcome many MSVM problems. The overall performance of the QG-MSVM classifier is comprehensively superior to all others.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114767858","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: 16
An improved artificial bee colony algorithm for 3D protein structure prediction 一种改进的人工蜂群算法用于三维蛋白质结构预测
International Conference on Biometrics Engineering and Application Pub Date : 2017-04-21 DOI: 10.1145/3077829.3077831
Ting Li, Changjun Zhou, Mandong Hu
{"title":"An improved artificial bee colony algorithm for 3D protein structure prediction","authors":"Ting Li, Changjun Zhou, Mandong Hu","doi":"10.1145/3077829.3077831","DOIUrl":"https://doi.org/10.1145/3077829.3077831","url":null,"abstract":"One of the key problems in the field of bioinformatics is protein structure prediction. The thermodynamic hypothesis demonstrates that protein's energy is the lowest in nature state. So protein's structure can be gotten directly by protein sequence's free-energy. In this paper, an improved algorithm based on three-dimensional AB off-lattice model to improve local search and global optimization ability of artificial bee colony algorithm has been presented. The simulation experiment shows that it can effectively search the lowest free-energy in the condition of keeping high accuracy. The experimental results indicate that the minimum energy from the improved artificial bee colony algorithm is better than other similar algorithms, and with the increase of protein sequence's length, this algorithm has better performance.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131200174","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: 3
Effect of propagation signal and path on verification performance using intra-body propagation signals 传播信号和路径对体内传播信号验证性能的影响
International Conference on Biometrics Engineering and Application Pub Date : 2017-04-21 DOI: 10.1145/3077829.3077838
I. Nakanishi, Itaru Ogushi, R. Nishi, Takahiro Murakami
{"title":"Effect of propagation signal and path on verification performance using intra-body propagation signals","authors":"I. Nakanishi, Itaru Ogushi, R. Nishi, Takahiro Murakami","doi":"10.1145/3077829.3077838","DOIUrl":"https://doi.org/10.1145/3077829.3077838","url":null,"abstract":"Biometrics is the verification or the identification method of users by measuring and analyzing their biometric data, which is only applicable to continuous authentication in a system. In particular, unconsciously presentable biometric modalities are also applicable to an authentication system. As such a biometrics, to use intra-body propagation signals that propagate on a body surface as electromagnetic waves have been proposed. In conventional approaches, verification performance on palms has been evaluated by a white signal as a propagation signal. In this paper, it is reported that the effects of using a synthesized signal by sinusoidal waves with fixed amplitudes and phases instead of the white signal and propagating this signal on other body parts on verification.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121915639","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
Tamper resistance evaluation of PUF implementation against machine learning attack PUF实现对机器学习攻击的抗篡改性评估
International Conference on Biometrics Engineering and Application Pub Date : 2017-04-21 DOI: 10.1145/3077829.3077830
Y. Nozaki, M. Yoshikawa
{"title":"Tamper resistance evaluation of PUF implementation against machine learning attack","authors":"Y. Nozaki, M. Yoshikawa","doi":"10.1145/3077829.3077830","DOIUrl":"https://doi.org/10.1145/3077829.3077830","url":null,"abstract":"Recently, the semiconductor counterfeiting has become a serious problem. To counter this problem, Physical Unclonable Function (PUF) has been attracted attention. However, the risk of machine learning attacks for PUF is pointed out. To verify the safety of PUF, the evaluation (tamper resistance) against machine learning attacks in the difference of PUF implementations is very important. However, the tamper resistance evaluation in the difference of PUF implementation has barely been reported. Therefore, this study evaluates the tamper resistance of PUF in the difference of field programmable gate array (FPGA) implementations against machine learning attacks. Experiments using an FPGA clarified the arbiter PUF of the lookup table implementation has the tamper resistance against machine learning attacks.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123977643","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: 0
Ear verification based on a novel local feature extraction 基于局部特征提取的耳朵验证方法
International Conference on Biometrics Engineering and Application Pub Date : 2017-04-21 DOI: 10.1145/3077829.3077834
Ibrahim Omara, M. Emam, M. Hammad, W. Zuo
{"title":"Ear verification based on a novel local feature extraction","authors":"Ibrahim Omara, M. Emam, M. Hammad, W. Zuo","doi":"10.1145/3077829.3077834","DOIUrl":"https://doi.org/10.1145/3077829.3077834","url":null,"abstract":"This paper proposes a novel local feature approach for human verification using 2D ear imaging based on Polar Sine Transform (PST). The proposed approach consists mainly of four steps. Firstly, normalizing the training and testing images, then, combining the normalized images together. Secondly, dividing the fused image into blocks, then, PST is used to extract the invariant features from each block. Thirdly, the Approximate Nearest Neighbors (ANN) searching criterion is adopted to collect the most similar blocks by means of Locality Sensitive Hashing (LSH). Finally, some morphological operations are used to reduce the number of false matching blocks, then, the system verifies the human ear. False Reject Rate (FRR) versus False Acceptance Rate (FAR) and ROC curve are used to evaluate the performance of the proposed approach. The experiments are performed on IIT Delhi database to validate the proposed approach. The results demonstrate that the proposed approach has better performance compared with the existing methods.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116139871","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
Face recognition using multiresolution wavelet combining discrete cosine transform and Walsh transform 结合离散余弦变换和沃尔什变换的多分辨率小波人脸识别
International Conference on Biometrics Engineering and Application Pub Date : 2017-04-21 DOI: 10.1145/3077829.3077835
Alpa Choudhary, R. Vig
{"title":"Face recognition using multiresolution wavelet combining discrete cosine transform and Walsh transform","authors":"Alpa Choudhary, R. Vig","doi":"10.1145/3077829.3077835","DOIUrl":"https://doi.org/10.1145/3077829.3077835","url":null,"abstract":"In this paper a face recognition system based on multi resolution hybrid wavelet approach has been presented. The multi resolution hybrid wavelet transform matrix is generated using Kronecker product of Walsh and DCT transform matrices. This wavelet is used to extract features from face images with different expressions of subjects' faces. A feature map is generated using energy compaction technique which is used as a template to extract features of enrolled and test images. The experiments are performed on faces94 database with different variations in facial expression, change in face position and occlusion. The recognition rates achieved are 99.24%.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056782","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
Active contour model combining local and global information dynamically with application to segment brain MR images 动态结合局部和全局信息的主动轮廓模型在脑磁共振图像分割中的应用
International Conference on Biometrics Engineering and Application Pub Date : 2017-04-21 DOI: 10.1145/3077829.3077837
Yunyun Yang, Xiu Shu, Sheng-hua Zhong
{"title":"Active contour model combining local and global information dynamically with application to segment brain MR images","authors":"Yunyun Yang, Xiu Shu, Sheng-hua Zhong","doi":"10.1145/3077829.3077837","DOIUrl":"https://doi.org/10.1145/3077829.3077837","url":null,"abstract":"With the rapid development of medical imaging technology, the image segmentation has a special significance in medical applications. It's known that intensity inhomogeneity is one of the important features of magnetic resonance (MR) images, which presents a quite challenge in MRI segmentation. In this paper the authors apply the split Bregman method for minimization of the improved active contour model combining local and global information dynamically to segment brain MR images. The authors have proved this model can segment synthetic and real images with intensity inhomogeneity. Numerical results show the accuracy and efficiency of this model. Besides, this model is also robust to noise. That is exactly the reason why the authors apply this model to segment brain MR images. The authors present this model in a multi-phase formulation and use it to segment brain MR images with multiple regions adjacent to each other. Then the authors have tested this proposed model with many brain MR images. Finally, comparisons with other models and experimental results have demonstrated the efficiency and accuracy of this method.","PeriodicalId":262849,"journal":{"name":"International Conference on Biometrics Engineering and Application","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115891312","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
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