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Int. J. Biom.最新文献

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Low and high frequency wavelet sub-band-based feature extraction 基于低频和高频小波子带的特征提取
Int. J. Biom. Pub Date : 2018-08-01 DOI: 10.1504/IJBM.2018.093641
D. V. R. Devi, K. N. Rao
{"title":"Low and high frequency wavelet sub-band-based feature extraction","authors":"D. V. R. Devi, K. N. Rao","doi":"10.1504/IJBM.2018.093641","DOIUrl":"https://doi.org/10.1504/IJBM.2018.093641","url":null,"abstract":"In a biometric system, feature extraction is an important task for faster and efficient identification of a person. A new feature extraction method, sub-band PCA+LDA is proposed to extract distinct features from low frequency and high frequency wavelet sub-bands. The proposed method captures both local and global features of two biometrics under consideration, face and iris. The matching scores of face and iris are normalised using minmax and tanh techniques, and fused using sum rule, product rule and weighted sum rule. For unimodal systems, the proposed method gives better recognition rate in comparison to other existing methods, like DWT, DWT+PCA, DWT+LDA, local binary pattern and subspace LDA. The performance of the proposed multimodal biometric system is superior to unimodal system in terms of attaining maximum of 100% recognition rate and minimum equal error rate (EER) of 0.017 for standard biometric databases.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115345888","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
User attitude towards novel biometric system and usability analysis 用户对新型生物识别系统的态度和可用性分析
Int. J. Biom. Pub Date : 2018-08-01 DOI: 10.1504/IJBM.2018.093630
Ishan Bhardwaj, N. Londhe, S. Kopparapu
{"title":"User attitude towards novel biometric system and usability analysis","authors":"Ishan Bhardwaj, N. Londhe, S. Kopparapu","doi":"10.1504/IJBM.2018.093630","DOIUrl":"https://doi.org/10.1504/IJBM.2018.093630","url":null,"abstract":"The advent of biometrics as a mean of authentication for financial institutes, government agencies, and personal devices caused significant acceleration in the realisation of security solutions. Increasing deployments and affordable hardware components corroborate this statement. Though passwords have commendable user convenience but suffer from serious issues, which have evolved biometrics into highly secure and reliable authentication methods. Every biometric technique should be easy to learn, impel to use and user convenient. In this paper, we have proposed to analyse the usability of fingerprint dynamics by performing user preference-based experimentations. This is also followed by the study of various aspects of fingerprint dynamics as an authentication system. Results are reported for the usability trials which includes data collection from 348 participants, followed by comprehensive statistical analysis. User preferences were also measured using attitude questionnaires. As an indicator of system performance results of authentication experiments are also reported.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134453313","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
New face expression recognition using polar angular radial transform and principal component analysis 基于极角径向变换和主成分分析的人脸表情识别新方法
Int. J. Biom. Pub Date : 2018-05-09 DOI: 10.1504/IJBM.2018.10012751
Imène Taleb, Madani Ould Mammar, A. Ouamri
{"title":"New face expression recognition using polar angular radial transform and principal component analysis","authors":"Imène Taleb, Madani Ould Mammar, A. Ouamri","doi":"10.1504/IJBM.2018.10012751","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10012751","url":null,"abstract":"This paper presents a new method for facial expression recognition (FER) using a polar mathematical development based on the angular radial transformation (ART). This method is combined by polar angular radial transform (P-ART) and principal component analysis (PCA). The new ART is a powerful descriptor in terms of robustness, description form and way more information-rich compared to the conventional Cartesian descriptor. Support vector machine (SVM) training is used to recognise the facial expression for an input face image. Finally, the experimental results show the performance of the P-ART and the PCA. The fusion of these two techniques can be better than other existing methods of recognition of facial expression. During the experiment, the basis of facial given Japanese female facial expression (JAFFE) and the Cohn-Kanade databases has been used.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"17 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130920337","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
Recognition of ear based on partial features fusion 基于部分特征融合的耳朵识别
Int. J. Biom. Pub Date : 2018-05-09 DOI: 10.1504/IJBM.2018.10012731
R. Vidyasri, B. Priyalakshmi, M. R. Raja, S. Priyanka
{"title":"Recognition of ear based on partial features fusion","authors":"R. Vidyasri, B. Priyalakshmi, M. R. Raja, S. Priyanka","doi":"10.1504/IJBM.2018.10012731","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10012731","url":null,"abstract":"Multi biometric systems like face and ear recognition techniques are adopted for the forensic and civilian applications to address the challenges of the facial expressions and occlusions. Numerous face and ear techniques have been proposed so far. Yet it becomes difficult to remove occlusions in ear. Ear occlusions can be of various forms such as, cap, hair, scarf, earrings, etc. Due to occlusion during identification stage recognition will certainly cause the loss of information. In this paper, an occlusion detection of ear that will recognise the occlusion information during the identification stage and by using fusion method, the matching of the samples is processed.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190843","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
Biometric security system: a rigorous review of unimodal and multimodal biometrics techniques 生物识别安全系统:单模态和多模态生物识别技术的严格审查
Int. J. Biom. Pub Date : 2018-05-09 DOI: 10.1504/IJBM.2018.10012749
U. Gawande, Yogesh Golhar
{"title":"Biometric security system: a rigorous review of unimodal and multimodal biometrics techniques","authors":"U. Gawande, Yogesh Golhar","doi":"10.1504/IJBM.2018.10012749","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10012749","url":null,"abstract":"Biometric-based system is used for authentication of an individual and to counter the possible threats used for security purpose. A wide variety of systems require reliable personal authentication schemes to either confirm or determine the identity of individuals requesting their services. Typical scenarios are access control and authentication transaction. Examples of such systems are automatic teller machines (ATMs), criminal verification, national unique identifications, border crossing, airports, cellular phones, etc. In the absence of robust authentication schemes, these systems are vulnerable to the wiles of an impostor. The purpose of such schemes is to ensure that the rendered services are accessed by the legitimate user, and not anyone else. Many researchers developed biometric-based system despite that each system has its own limitations. The main aim of this paper is to give a qualitative and computational analysis of existing biometric-based system and describes various unimodal and multimodal systems.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122034266","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
Face analysis in video: face detection and tracking with pose estimation 视频中的人脸分析:基于姿态估计的人脸检测与跟踪
Int. J. Biom. Pub Date : 2018-05-09 DOI: 10.1504/IJBM.2018.10012738
Hazar Mliki, Mohamed Hammami
{"title":"Face analysis in video: face detection and tracking with pose estimation","authors":"Hazar Mliki, Mohamed Hammami","doi":"10.1504/IJBM.2018.10012738","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10012738","url":null,"abstract":"We introduced a full automatic approach to achieve face detection and tracking with pose estimation in video sequences. The proposed approach consists of three modules: face detection module, face tracking module and face pose estimation module. A combination between detection and tracking modules was performed to overcome the different challenging problems that might occur while detecting or tracking faces. Afterward face pose estimation module was applied to select the best camera capture which is closest to the frontal face view for better face recognition task. The performance of these modules was evaluated with an experimental study which has proven the robustness of the proposed approach for a face analysis in video.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153982","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: 2
A novel fingerprint classification system using BPNN with local binary pattern and weighted PCA 基于局部二值模式和加权主成分分析的BPNN指纹分类系统
Int. J. Biom. Pub Date : 2018-03-01 DOI: 10.1504/IJBM.2018.10011202
K. Sasirekha, K. Thangavel
{"title":"A novel fingerprint classification system using BPNN with local binary pattern and weighted PCA","authors":"K. Sasirekha, K. Thangavel","doi":"10.1504/IJBM.2018.10011202","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10011202","url":null,"abstract":"Fingerprint classification is an important indexing scheme to reduce fingerprint matching time. In this paper, a novel approach to classify fingerprint images is proposed. It involves four main parts: denoising, feature extraction, dimensionality reduction and classification. Initially, the fingerprint is denoised using undecimated wavelet transform. Then short time Fourier transform (STFT) is used to enhance the denoised fingerprints. A set of local binary pattern (LBP) features are extracted to overcome the difficulty associated with singular point detection. To reduce the dimensionality of the feature space, quick reduct (QR), principal component analysis (PCA) and weighted PCA have been investigated. Finally, the fingerprint images are classified using back propagation neural network (BPNN). In this research, experiments have been conducted on real-time fingerprint images collected from 150 subjects and also on the NIST-4 dataset. The proposed method has been compared with support vector machine (SVM), K-nearest neighbor (K-NN), and multi-layer perceptron (MLP).","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"428 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132136559","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: 2
Signature recognition using binary features and KNN 基于二进制特征和KNN的签名识别
Int. J. Biom. Pub Date : 2018-03-01 DOI: 10.1504/IJBM.2018.10011197
Hedjaz Hezil, R. Djemili, H. Bourouba
{"title":"Signature recognition using binary features and KNN","authors":"Hedjaz Hezil, R. Djemili, H. Bourouba","doi":"10.1504/IJBM.2018.10011197","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10011197","url":null,"abstract":"This paper proposes the use of binary features in offline signature recognition systems. Indeed, offline signature recognition finds mainly its importance for the authentication of administrative and official documents in which a higher accuracy is needed. In the proposed approach, features are extracted by using two descriptors: binary statistical image features (BSIF) and local binary patterns (LBP). To assess the reliability of the method, experiments were carried out using two publicly available datasets, MCYT-75 and GPDS-100 databases. Using a k-nearest neighbour classifier, recognition performances reach values high as 97.3% and 96.1% for MCYT-75 and GPDS-100 databases respectively. In signature verification, the classification accuracy measured with equal error rate (EER) achieved 4.2% and 4.8% respectively on GPDS-100 and GPDS-160. In addition, the EER for the MCYT-75 database has attained 7.78%. All those accuracies outperformed various performance results reported in literature.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134097788","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 authentication system using keystroke dynamics 使用击键动力学的身份验证系统
Int. J. Biom. Pub Date : 2018-03-01 DOI: 10.1504/IJBM.2018.10011201
F. Zareen, C. Matta, Akshay Arora, Sarmod Singh, S. Jabin
{"title":"An authentication system using keystroke dynamics","authors":"F. Zareen, C. Matta, Akshay Arora, Sarmod Singh, S. Jabin","doi":"10.1504/IJBM.2018.10011201","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10011201","url":null,"abstract":"There are various biometrics-based methods for user authentication. However, the best authentication method can be based on physiological/behavioural biometrics as capturing physiological biometrics may require use of special devices and that may not be available with many users. Keystroke dynamics is a simplified and easily achievable user authentication method when every user is available with a laptop or a personal computer. This paper presents a keystroke dynamics-based authentication system using Bayesian regularised feed-forward neural network. In order to train the model, a database is captured for recording keystroke dynamics of 20 users in four sessions each with 50 samples. Experimental results demonstrate that the Bayesian regularised neural network models provide the best results and are most suitable for this purpose. We are able to achieve an equal error rate of 0.9% which is better than the methods used in the existing literature for plain keystroke dynamics. We have given a comparative analysis of the performance of proposed system with existing methods.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131912971","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
On the potential of EEG for biometrics: combining power spectral density with a statistical test 论脑电图在生物识别方面的潜力:结合功率谱密度和统计检验
Int. J. Biom. Pub Date : 2018-03-01 DOI: 10.1504/IJBM.2018.10011200
Hemang Shrivastava, Gleb V. Tcheslavski
{"title":"On the potential of EEG for biometrics: combining power spectral density with a statistical test","authors":"Hemang Shrivastava, Gleb V. Tcheslavski","doi":"10.1504/IJBM.2018.10011200","DOIUrl":"https://doi.org/10.1504/IJBM.2018.10011200","url":null,"abstract":"The objective of this work was to explore the potential of using subject's electroencephalogram (EEG) as a biometric identifier. EEG was collected from eight healthy male participants, while exposing them to the sequence of images displayed on the screen. The averaged, over EEG rhythms, estimates of power spectral density were used as the classification features for the artificial neural network and Euclidean distance-based classifiers. Prior the classification, Kruskal-Wallis test was performed on the power estimates to verify that they were statistically different between different individuals, who were performing identical tasks. Assuming the significance level of 0.075, Kruskal-Wallis analysis indicated that up to 96.42% of such estimates were statistically different between different participants and, therefore, can be used as the classification features for biometric authentication. When using average EEG spectral power as the classification features, the highest classification accuracy of 87.5% was achieved for α1 EEG rhythm (8–10 Hz), while using the artificial neural network classifier, and for α2 EEG rhythm (10–14 Hz), while using the Euclidean Distance classifier. The classification performance may be mediated by the type of visual stimulation (i.e., the image the subject perceives) and the statistical test may be instrumental for classification feature selection.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114334765","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: 2
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