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Int. J. Biom.最新文献

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Local texture description framework-based modified local directional number pattern: a new descriptor for face recognition 基于局部纹理描述框架的改进局部方向数字模式:一种新的人脸识别描述符
Int. J. Biom. Pub Date : 2015-07-01 DOI: 10.1504/IJBM.2015.070928
R. R. Rose, A. Suruliandi, K. Meena
{"title":"Local texture description framework-based modified local directional number pattern: a new descriptor for face recognition","authors":"R. R. Rose, A. Suruliandi, K. Meena","doi":"10.1504/IJBM.2015.070928","DOIUrl":"https://doi.org/10.1504/IJBM.2015.070928","url":null,"abstract":"Texture descriptors effectively capture the surface property of images. However, almost all the available local texture descriptors encode a texture pattern using the closest neighbours. But the local texture description framework LTDF proposed earlier proved the importance of eight sampling points that lie elliptically at a certain distance apart from a pixel under consideration in distinguishing different face images. Recently, a local texture descriptor namely local directional number pattern LDN is introduced to encode the directional information of the structure of a face's texture. Incorporating the concepts of LTDF and LDN, this paper proposes a new texture descriptor namely LTDF-based modified local directional number pattern LTDF_MLDN. LTDF_MLDN describes a texture pattern with the sampling points at dissimilar area. Effectiveness of the system is tested for the different issues in face recognition using five benchmark databases. Experimental results reveal the effectiveness of the proposed descriptor over the state-of-the-art approaches.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127463631","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
Fast match-on-card technique using in-matcher clustering with ISO minutia template 使用ISO细节模板的匹配器聚类的快速卡片匹配技术
Int. J. Biom. Pub Date : 2015-07-01 DOI: 10.1504/IJBM.2015.070925
T. Chen, W. Yau, Xudong Jiang
{"title":"Fast match-on-card technique using in-matcher clustering with ISO minutia template","authors":"T. Chen, W. Yau, Xudong Jiang","doi":"10.1504/IJBM.2015.070925","DOIUrl":"https://doi.org/10.1504/IJBM.2015.070925","url":null,"abstract":"Fingerprint match-on-card is receiving more attention from society because of higher level of security and less privacy concern. The ISO/IEC19794-2 for match-on-card defines the minutiae data format that contains the basic information. Therefore, match-on-card is a challenge, especially when dealing with deformation and common correspondence for alignment. In this paper, a novel in-matcher clustering method is proposed to search for the matched minutia clusters to cater for deformation. Moreover, a further matching step using Mahalanobis distance to measure the inter-cluster similarity is proposed to remove the wrongly matched clusters. Finally, the overall match score is generated by combining the scores from matched clusters and the geometrical structure of clusters. The proposed algorithm achieved an average EER ⇐ 5.1979% using all FVC databases. In the NIST evaluation, the achieved false match rate FMR = 0.001 and false non-match rate FNMR = 0.08 and the average on-card verification time is 1.01s using 8-bit smartcard.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129866579","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
Recognition accuracy of the new fingerprint construct based on a compact minutiae pattern 基于紧凑细节模式的新指纹结构的识别精度
Int. J. Biom. Pub Date : 2015-07-01 DOI: 10.1504/IJBM.2015.070929
Vedrana Krivokuca, W. Abdulla
{"title":"Recognition accuracy of the new fingerprint construct based on a compact minutiae pattern","authors":"Vedrana Krivokuca, W. Abdulla","doi":"10.1504/IJBM.2015.070929","DOIUrl":"https://doi.org/10.1504/IJBM.2015.070929","url":null,"abstract":"Instead of using the entire minutiae template to generate a protected fingerprint template, recently a non-invertible cancellable fingerprint construct based on a 3-5 minutiae pattern was proposed as a safer alternative. This paper investigates the recognition accuracy attainable by this new fingerprint construct. It is found that using five samples of a person's reference fingerprint and allowing for a maximum of three authentication attempts provides a genuine user with the best chance of being successfully authenticated. An evaluation of the FAR and FRR in this scenario demonstrates that the new fingerprint construct can be tuned to suit the performance and security requirements of different applications by adjusting the pattern size and matching thresholds. The fingerprint construct is then modified to improve its ability to discriminate between genuine users and impostors. Compared to other non-invertible fingerprint template protection schemes, the performance of the modified fingerprint construct is found to be favourable.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117063209","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
Implementation of modified polar complex moments-based fingerprint orientation estimation for effective segmentation 基于改进极坐标复矩的指纹方向估计的实现
Int. J. Biom. Pub Date : 2015-05-01 DOI: 10.1504/IJBM.2015.069504
M. Selvakumar, D. Nedumaran
{"title":"Implementation of modified polar complex moments-based fingerprint orientation estimation for effective segmentation","authors":"M. Selvakumar, D. Nedumaran","doi":"10.1504/IJBM.2015.069504","DOIUrl":"https://doi.org/10.1504/IJBM.2015.069504","url":null,"abstract":"Segmentation is an important step in deciding the performance of fingerprint identification systems. In this paper, we present the modified polar complex moments MPCMs fingerprint orientation estimation algorithm, capable of describing the fingerprint flow structures including singular point regions in the fingerprint images effectively. To discard the background region of the low-quality fingerprint images, regularisation was employed. These algorithms are tested on various types of fingerprint images containing low-quality unrecoverable region and the results obtained from the proposed method were compared with those obtained from well-known gradient-based and PCMs methods. The proposed method was also used to study the contrast enhancement process with our previously developed modified histogram equalisation MHE based on adaptive inverse hyperbolic tangent AIHT method. The MPCMs method exhibits better segmentation than the traditional methods in both normal and low-contrast image segmentations, as evident from the estimated matching scores as well as ROC graph.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114575860","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
Palmprint identification and verification based on wide principal lines through dynamic ROI 基于宽主线的动态ROI掌纹识别与验证
Int. J. Biom. Pub Date : 2015-05-01 DOI: 10.1504/IJBM.2015.069501
H. Kalluri, M. Prasad, A. Agarwal
{"title":"Palmprint identification and verification based on wide principal lines through dynamic ROI","authors":"H. Kalluri, M. Prasad, A. Agarwal","doi":"10.1504/IJBM.2015.069501","DOIUrl":"https://doi.org/10.1504/IJBM.2015.069501","url":null,"abstract":"In this paper, a novel palmprint identification and verification algorithm is proposed based on wide principal lines through dynamic ROI. Region of interest ROI extraction is an important task for palmprint identification. Earlier reported works used fixed size ROI for the recognition of palmprints. When the fixed size ROI is used the palm area taken up for recognition is less compared to dynamic ROI extraction. The proposed algorithm focuses on extraction of maximum possible ROI. A set of wide principal line extractors are devised. Later these wide principal line extractors are used to extract the wide principal lines from dynamic ROI. A two stage palmprint identification algorithm is proposed based on wide principal lines. The experimental results demonstrate that the proposed approach extracts better ROI on the PolyUPalmprint Database when compared to the existing fixed size and dynamic size ROI extraction techniques. The experimental results for the verification and identification on PolyUPalmprint Database show that the discrimination of wide principal lines is also strong.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129649164","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: 7
Face verification using local binary patterns and generic model adaptation 使用局部二值模式和通用模型自适应的人脸验证
Int. J. Biom. Pub Date : 2015-05-01 DOI: 10.1504/IJBM.2015.069502
Elhocine Boutellaa, F. Harizi, Messaoud Bengherabi, S. Ait-Aoudia, A. Hadid
{"title":"Face verification using local binary patterns and generic model adaptation","authors":"Elhocine Boutellaa, F. Harizi, Messaoud Bengherabi, S. Ait-Aoudia, A. Hadid","doi":"10.1504/IJBM.2015.069502","DOIUrl":"https://doi.org/10.1504/IJBM.2015.069502","url":null,"abstract":"The popular local binary patterns LBP have been highly successful in representing and recognising faces. However, the original LBP-based face recognition method has some problems that need to be addressed. In this work, we propose two approaches to address the histogram representation drawbacks in the LBP-based face verification system. The first approach employs vector quantisation maximum a posteriori adaptation VQMAP model, where a generic face model is obtained by vector quantisation and the user models are inferred using maximum a posteriori adaptation. The second approach proposes an enhanced LBP histogram representation by adapting a generic face histogram to each user. Moreover, the two proposed approaches are further fused to enhance the verification performance. We evaluate our proposed approaches on two publicly available databases, namely BANCA and XM2VTS, and compare the results against the original LBP approach and its variants, demonstrating very promising results.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134513524","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
Face recognition based on 2D and 3D data fusion 基于二维和三维数据融合的人脸识别
Int. J. Biom. Pub Date : 2015-05-01 DOI: 10.1504/IJBM.2015.069505
Pawel Krotewicz, W. Sankowski, P. Nowak
{"title":"Face recognition based on 2D and 3D data fusion","authors":"Pawel Krotewicz, W. Sankowski, P. Nowak","doi":"10.1504/IJBM.2015.069505","DOIUrl":"https://doi.org/10.1504/IJBM.2015.069505","url":null,"abstract":"The aim of the work presented in this paper is to present current state of the art of face recognition methods and describe proposal algorithms for face biometric identification that analyse 2D face images and 3D face geometry scans. Data for analysis gathered via 3D scanner are processed through different phases. These are: segmentation phase, feature extraction phase and comparison phase. Segmentation relies on localising characteristic landmark points of the face and projecting the face point cloud onto a plane constructed on the basis of these characteristic points. Feature extraction phase calculates separate feature vectors for 2D and 3D input data. Comparison phase applies fusion of 2D and 3D methods and calculates similarity value between two samples. All samples are compared against one another and results presented as DET curves are generated. By analysis of DET curves, conclusions are formulated.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133713624","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
Fingerprint template protection scheme based on partial minutiae patterns: a comprehensive non-invertibility analysis 基于局部细节模式的指纹模板保护方案:一种全面的不可逆性分析
Int. J. Biom. Pub Date : 2015-04-01 DOI: 10.1504/IJBM.2015.076136
Vedrana Krivokuca, W. Abdulla
{"title":"Fingerprint template protection scheme based on partial minutiae patterns: a comprehensive non-invertibility analysis","authors":"Vedrana Krivokuca, W. Abdulla","doi":"10.1504/IJBM.2015.076136","DOIUrl":"https://doi.org/10.1504/IJBM.2015.076136","url":null,"abstract":"A crucial property of an effective fingerprint template protection scheme is non-invertibility, which ensures that the original fingerprint template cannot be recovered from its secured counterpart. Since it is extremely difficult to design a function that achieves a high degree of non-invertibility, it is unsafe to use an entire fingerprint template as the input to any such function. Most existing fingerprint template protection mechanisms, however, do exactly this. One scheme that stands apart from the rest, in that its protected template originates from only a small portion of the minutiae template, is a new fingerprint construct based on partial minutiae patterns. This paper presents a comprehensive analysis of the non-invertibility of this scheme. It is found that the new fingerprint construct has extremely strong non-invertibility and good resistance to a Record Multiplicity Attack in practice. We also propose a modification to improve the method's resistance to this type of attack.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127041818","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
Hough transform-based technique for fingerprint alteration detection and classification 基于Hough变换的指纹变化检测与分类
Int. J. Biom. Pub Date : 2015-04-01 DOI: 10.1504/IJBM.2015.076131
T. R. Anoop, M. G. Mini
{"title":"Hough transform-based technique for fingerprint alteration detection and classification","authors":"T. R. Anoop, M. G. Mini","doi":"10.1504/IJBM.2015.076131","DOIUrl":"https://doi.org/10.1504/IJBM.2015.076131","url":null,"abstract":"Fingerprint alteration is a major threat to automatic fingerprint identification systems, especially in border security control system. A Hough transform-based method for detection and classification of altered fingerprint is presented here. Altered fingerprints consists of huge amount of broken ridges due to different process used for making alteration and this in turn causes large number of ridge ending. The amount of ridge endings is different in different types of altered fingerprints. Hough transform-based method proposed in this paper utilises the variation in ridge ending density as a feature for detection and classification of altered fingerprints. The ridge end points in normal and altered fingerprints are collinear even though they are distributed randomly in the image space. Due to the variation of ridge ending density, the number of collinear ridge end points varies with respect to normal and different types of alteration. Making use of this, a threshold is selected in the Hough accumulator to perform detection and classification of fingerprint alteration. A method for the classification of scar present in altered and normal fingerprints is also proposed here.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"20 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131726901","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
3D face recognition based on normal map features using selected Gabor filters and linear discriminant analysis 基于选择Gabor滤波器和线性判别分析的法线贴图特征的三维人脸识别
Int. J. Biom. Pub Date : 2015-04-01 DOI: 10.1504/IJBM.2015.076138
Samir F. Hafez, M. Selim, H. Zayed
{"title":"3D face recognition based on normal map features using selected Gabor filters and linear discriminant analysis","authors":"Samir F. Hafez, M. Selim, H. Zayed","doi":"10.1504/IJBM.2015.076138","DOIUrl":"https://doi.org/10.1504/IJBM.2015.076138","url":null,"abstract":"In this paper, we present a new approach to enhance and improve the performance of automatic 3D face recognition system. The proposed method has been implemented through a preprocessing technique to align and normalise all images in the database based on eyes centres localisation using 2D normalised cross-correlation 2DNCC. Preprocessing 3D face data has been implemented using depth map representation of the 3D data. The detected eyes centres and eyes distance ED have been used to segment and align 3D face images to produce a cropped face region of interest ROI. The proposed approach extracted 3D face features using a set of selected orthogonal Gabor filters applied to normal map representation of the 3D face model. This approach minimises the feature vector extracted compared to systems that use complete Gabor filters bank. A further compression to the extracted features has been accomplished using linear discriminant analysis LDA before the classification stage. Experimental results show that the proposed system is effective for both dimensionality reduction and good recognition performance when compared to current systems. The system has been tested using CASIA and Gavab 3D face images databases and achieved 98.35% and 85% recognition rates, respectively.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"8 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114119753","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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