发布求助
文献互助 智能选刊 最新文献

Int. J. Biom.最新文献

筛选
英文 中文
Mutually reinforcing motion-pose framework for pose invariant action recognition 姿态不变动作识别的相互强化运动-姿态框架
Int. J. Biom. Pub Date : 2019-03-21 DOI: 10.1504/IJBM.2019.099014
M. Ramanathan, W. Yau, N. Magnenat-Thalmann, E. Teoh
{"title":"Mutually reinforcing motion-pose framework for pose invariant action recognition","authors":"M. Ramanathan, W. Yau, N. Magnenat-Thalmann, E. Teoh","doi":"10.1504/IJBM.2019.099014","DOIUrl":"https://doi.org/10.1504/IJBM.2019.099014","url":null,"abstract":"Action recognition from videos has many potential applications. However, there are many unresolved challenges, such as pose-invariant recognition, robustness to occlusion and others. In this paper, we propose to combine motion of body parts and pose hypothesis generation validated with specific canonical poses observed in a novel mutually reinforcing framework to achieve pose-invariant action recognition. To capture the temporal dynamics of an action, we introduce temporal stick features computed using the stick poses obtained. The combination of pose-invariant kinematic features from motion, pose hypothesis and temporal stick features are used for action recognition, thus forming a mutually reinforcing framework that repeats until the action recognition result converges. The proposed mutual reinforcement framework is capable of handling changes in posture of the person, occlusion and partial view-invariance. We perform experiments on several benchmark datasets which showed the performance of the proposed algorithm and its ability to handle pose variation and occlusion.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117102575","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 indexing via BRIEF minutia descriptors 指纹索引通过简短的细节描述符
Int. J. Biom. Pub Date : 2019-03-21 DOI: 10.1504/IJBM.2019.099010
R. Pollak, Roland Richter
{"title":"Fingerprint indexing via BRIEF minutia descriptors","authors":"R. Pollak, Roland Richter","doi":"10.1504/IJBM.2019.099010","DOIUrl":"https://doi.org/10.1504/IJBM.2019.099010","url":null,"abstract":"We use BRIEF binary local image descriptors as minutia descriptors for indexing of biometric fingerprint databases. Tests with varying descriptor size and parametrisation are performed on a proprietary database. Compared with the speed of an implementation of conventional minutiae matching, we find that BRIEF descriptors are fast enough for database indexing. The tested descriptors outperform two other image descriptors (LBP, HoG) from recent literature with respect to matching rates and average penetration rates.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124568881","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
Bidirectional aggregated features fusion from CNN for palmprint recognition 基于CNN的双向聚合特征融合掌纹识别
Int. J. Biom. Pub Date : 2018-10-04 DOI: 10.1504/IJBM.2018.095292
Jianxin Zhang, Aoqi Yang, Mingli Zhang, Qiang Zhang
{"title":"Bidirectional aggregated features fusion from CNN for palmprint recognition","authors":"Jianxin Zhang, Aoqi Yang, Mingli Zhang, Qiang Zhang","doi":"10.1504/IJBM.2018.095292","DOIUrl":"https://doi.org/10.1504/IJBM.2018.095292","url":null,"abstract":"In this paper, we present a novel bidirectional aggregated features representation from convolutional neural networks (CNNs) with score-level fusion for palmprint recognition. Our method adopts the vector of locally aggregated descriptors (VLAD) to encode the convolutional features from two directions, i.e., vertical and horizontal directions, to mine both the local and global descriptions of palmprint image. Then, three score-level fusion rules are respectively employed to integrate the matching scores of the bidirectional features. We extensively evaluate the performance of convolutional features, vertical and horizontal encoding together with the score-level fusion rules through recent deep network VGG-F on the PolyU palmprint and multispectral palmprint databases. Experiments demonstrate that horizontal encoding significantly outperforms vertical encoding on red, green, blue and near-infrared (NIR) palmprint image subsets while it is slightly worse on PolyU palmprint database, moreover, the effective performance improvement can be achieved after the fusions.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128864069","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
Fusion of hand-shape and palm-print traits using morphology for bi-modal biometric authentication 基于形态学的手印与掌纹特征融合双模态生物特征认证
Int. J. Biom. Pub Date : 2018-10-04 DOI: 10.1504/IJBM.2018.095286
Wen-Shiung Chen, Wei-Chang Wang
{"title":"Fusion of hand-shape and palm-print traits using morphology for bi-modal biometric authentication","authors":"Wen-Shiung Chen, Wei-Chang Wang","doi":"10.1504/IJBM.2018.095286","DOIUrl":"https://doi.org/10.1504/IJBM.2018.095286","url":null,"abstract":"This paper presents a bimodal biometric recognition technique fusing hand-shape and palm-print traits of a human hand for personal authentication. In this fusion scheme, a novel feature extraction based on morphology, called broken mirror method, is designed and two-stage recognition is proposed. We utilise the image morphology and concept of Voronoi diagram to slice the image of the front of the whole palm into several strips in which each strip is then decomposed into irregular blocks in accordance with the hand geometry. Furthermore, statistic characteristics of the grey level in each of the blocks are employed as feature values. In the final stage, a coarse recognition followed by a fine recognition will be adopted to recognise the identity. The experimental results show that the proposed biometric fusion system has an encouraging performance on recognition. The false acceptance rate (FAR) and false rejection rate (FRR) are reduced efficiently down to 0.0035% and 5.7692%, respectively. Our approach achieves the EER of about 7% which is better than that of other methods.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129100591","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
Forensic dental biometry - a human identification system using panoramic dental radiographs based on shape of mandibular bone 法医牙科生物计量学-一种基于下颌骨形状的全景牙科x光片人体识别系统
Int. J. Biom. Pub Date : 2018-10-04 DOI: 10.1504/IJBM.2018.095284
M. Banday, A. H. Mir
{"title":"Forensic dental biometry - a human identification system using panoramic dental radiographs based on shape of mandibular bone","authors":"M. Banday, A. H. Mir","doi":"10.1504/IJBM.2018.095284","DOIUrl":"https://doi.org/10.1504/IJBM.2018.095284","url":null,"abstract":"Dental biometrics is a new and growing area of forensic biometrics that uses the unique features of dental structures from dental radiographs to automatically establish a person's identity from their dental remains when the conventional biometric features are not available. In this paper, we present a new and efficient approach for identifying people, by using the structure of mandible from the panoramic dental radiographs as a biometric identifier. The system automatically segments the mandible from dental panoramic images to extract the representative feature vectors for each mandible, which are later used for matching and identification. The experimental results of the proposed system using a database of 120 ante-mortem and 90 post-mortem panoramic dental images show that the system is robust and effective in identifying individuals and exhibits a high recognition rate (RR) up to 98.79%, low equal error rate (EER) of 1.5% and a remarkable identification performance.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133097060","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
Fusing iris and periocular recognition using discrete orthogonal moment-based invariant feature-set 基于离散正交矩的不变特征集融合虹膜和眼周识别
Int. J. Biom. Pub Date : 2018-10-04 DOI: 10.1504/IJBM.2018.095293
Bineet Kaur, Sukhwinder Singh, J. Kumar
{"title":"Fusing iris and periocular recognition using discrete orthogonal moment-based invariant feature-set","authors":"Bineet Kaur, Sukhwinder Singh, J. Kumar","doi":"10.1504/IJBM.2018.095293","DOIUrl":"https://doi.org/10.1504/IJBM.2018.095293","url":null,"abstract":"Iris recognition in uncontrolled environment poses a challenge due to occlusion noise, specular reflections and poor resolution. Therefore, periocular recognition has become a popular biometric modality which when used with iris recognition makes the system suitable for high security applications. The paper introduces discrete orthogonal moment-based invariant features: Tchebichef, Krawtchouk and Dual-Hahn moments which provide discriminative features with compact information and minimum redundancy for non-ideal conditions. The proposed techniques are applied on two publicly available iris databases: IITD v1 and UBIRIS v2 and our own PEC, Chandigarh periocular database. Results demonstrate that the moment-based feature-set outperforms existing approaches available in the literature.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127970239","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
Face detection cum recognition system using novel techniques for human authentication 人脸检测与识别系统采用新技术的人的身份验证
Int. J. Biom. Pub Date : 2018-10-04 DOI: 10.1504/IJBM.2018.095290
A. Parivazhagan, A. Therese
{"title":"Face detection cum recognition system using novel techniques for human authentication","authors":"A. Parivazhagan, A. Therese","doi":"10.1504/IJBM.2018.095290","DOIUrl":"https://doi.org/10.1504/IJBM.2018.095290","url":null,"abstract":"Face biometric plays a significant role in human authentication system; today in several sectors to recognise a person face biometrics are used. Still, in accuracy point of view, there is a lag in the perfect recognition system. In this work, ideas are proposed to develop novel face recognition, face detection, and face detection cum recognition system. A novel Gray-averaging technique is combined with blooming feature extraction techniques called location averaging technique and max-min comparison technique for face recognition and face detection. An existing frequency domain process DCT is also joined with this system. In this system spatial domain and frequency domain techniques are united, hence it acts as a bridge between these two techniques. The face detection cum recognition system is validated using parameters like image size, runtime, and accuracy with few face databases. This novel system is examined through five standard face databases and 300 real-life face images.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131754256","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
Offline signature verification using shape correspondence 使用形状对应的离线签名验证
Int. J. Biom. Pub Date : 2018-08-01 DOI: 10.1504/IJBM.2018.093643
P. Narwade, R. Sawant, S. Bonde
{"title":"Offline signature verification using shape correspondence","authors":"P. Narwade, R. Sawant, S. Bonde","doi":"10.1504/IJBM.2018.093643","DOIUrl":"https://doi.org/10.1504/IJBM.2018.093643","url":null,"abstract":"Biometrics has always been an integral part of human identification and verification, with offline signature verification being a most crucial component of it. It is a challenging task as the signatures are time variant. To address the above difficulty, this paper presents a novel approach to identify the correspondence between pixels of different signatures using an adaptive weighted combination of shape context distance and Euclidean distance. These correspondences are then used for the transformation of query signature plane to reference signature plane using thin plate spline transformation. The distances between signatures are computed using plane transformation, a shape descriptor, and the farness between matched pixels. The computed distances are then fed to the support vector machine (SVM) classifier to determine the merit of genuineness. With the proposed methodology, better accuracy is obtained. The results exhibit an accuracy of 89.58% using proposed method on GPDS synthetic signature database.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"651 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":"132126935","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
Biometric authentication system based on texture features of retinal images 基于视网膜图像纹理特征的生物识别认证系统
Int. J. Biom. Pub Date : 2018-08-01 DOI: 10.1504/IJBM.2018.093624
Jarina B. Mazumdar, S. Nirmala
{"title":"Biometric authentication system based on texture features of retinal images","authors":"Jarina B. Mazumdar, S. Nirmala","doi":"10.1504/IJBM.2018.093624","DOIUrl":"https://doi.org/10.1504/IJBM.2018.093624","url":null,"abstract":"In biometric authentication system, distinct set of characteristic features are used to identify an authorised person. Retina is a stable biometric feature because of its location and unique physiological characteristics. In this paper, we propose a texture feature-based retinal authentication system. Texture features are considered as important features for authentication purpose. These texture features of retina are extracted using local configuration pattern (LCP) and Radon transform technique. The LCP computes the local structural information as well as the microscopic information of the image. Using Radon transform on retinal images, Radon features are extracted which contains the texture information of the blood vessels. A feature vector is formed by combining all theses LCP and Radon features and then fed to a feed-forward artificial neural network (FANN) classifier. This stage checks whether the test image belongs to the authorised person or not. Three general retinal databases DRIVE, HRF, Messidor, and images collected from two local eye hospitals are considered to authenticate a person. Two retinal authentication databases RIDB and VARIA are also used for evaluating the performance of the system. The results obtained show that the system is effective and efficient in authenticating the individuals.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"2 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":"116636359","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
Towards contactless palm region extraction in complex environment 复杂环境下手掌区域的非接触提取
Int. J. Biom. Pub Date : 2018-08-01 DOI: 10.1504/IJBM.2018.093635
Tingting Chai, Shenghui Wang, Dongmei Sun
{"title":"Towards contactless palm region extraction in complex environment","authors":"Tingting Chai, Shenghui Wang, Dongmei Sun","doi":"10.1504/IJBM.2018.093635","DOIUrl":"https://doi.org/10.1504/IJBM.2018.093635","url":null,"abstract":"Palm region of interest (ROI) extraction is an indispensable procedure in palmprint recognition. Prior works generally perform well on palm ROI extraction because of dedicated devices and well-controlled environment. To make hand placement less-constrained and improve usability, mobile palmprint recognition has attracted a wide attention in recent years. For mobile phone images captured in complex natural environment, palm ROI extraction is a challenging work due to varying illumination, complex background and contactless acquisition mode. In this paper, a mobile palmprint dataset (SPIC) is at first established with five smartphones, comprising 4000 images collected from 128 persons in two separate sessions. Furthermore, a novel pre-processing approach is proposed to achieve ROI extraction in mobile scenarios, which include colour component selection, learning-based fast hand segmentation and geometry-driven valley point location. Experimental results demonstrate that the proposed method can achieve high extraction accuracy and computational efficiency on PolyU1.0, HA-BJTU and SPIC palmprint databases.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"10 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":"131096106","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信