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Int. J. Biom.最新文献

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An integrated framework for evaluating the performance of age progression algorithms 一种评估年龄递进算法性能的综合框架
Int. J. Biom. Pub Date : 2017-09-18 DOI: 10.1504/IJBM.2017.10007741
A. Lanitis, N. Tsapatsoulis
{"title":"An integrated framework for evaluating the performance of age progression algorithms","authors":"A. Lanitis, N. Tsapatsoulis","doi":"10.1504/IJBM.2017.10007741","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10007741","url":null,"abstract":"Facial age progression can play an important role in biometric authentication as it enables the long-term person identification based on age progressed facial renderings. In this paper, a systematic evaluation approach that can be used for assessing the performance of age progression algorithms is presented. The proposed method relies on the use of a dedicated dataset in conjunction with the development and use of machine-based performance evaluation metrics that allow the assessment of the intensity of aging effects added on a face along with an assessment of the identity preservation in age progressed images. The proposed performance evaluation framework can form the basis of implementing comprehensive comparative performance evaluation between different age progression methodologies, allowing in that way the evolution of the best algorithms.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131883907","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
An approach to matching fingerprints using cryptographic one-way hashes 一种使用加密单向散列匹配指纹的方法
Int. J. Biom. Pub Date : 2017-09-18 DOI: 10.1504/IJBM.2017.10007743
Qinghai Gao
{"title":"An approach to matching fingerprints using cryptographic one-way hashes","authors":"Qinghai Gao","doi":"10.1504/IJBM.2017.10007743","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10007743","url":null,"abstract":"Password-based systems authenticate users with cryptographic one-way hashes without storing plaintext passwords. The method prevents a hacker from reversing the hashes and hacking into individual accounts easily. Biometric data cannot be reproduced with 100% accuracy. Therefore, the hashing technique has yet to be utilised directly to secure biometric data. Instead, biometric system manages biometric data in two ways. The first is to store original biometric templates in encrypted formats. However, real-time decryption is required upon authentication during which decrypted data can be stolen. The second is to transform original templates such that matching can be done directly in the transformed domain. However, the requirement of similarity-preserving transformation makes the transformed templates vulnerable to reverse engineering. In this paper we propose a novel approach of transforming fingerprint templates, with which matching can be conducted using cryptographic one-way hashes. Our testing results indicate its feasibility.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115170729","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
Simplified and efficient face recognition system on real image set and synthesised data 基于真实图像集和合成数据的简化高效人脸识别系统
Int. J. Biom. Pub Date : 2017-08-07 DOI: 10.1504/IJBM.2017.10006484
A. Massaro, D. Barbuzzi, A. Galiano, Valeria Vitti, L. Pellicani
{"title":"Simplified and efficient face recognition system on real image set and synthesised data","authors":"A. Massaro, D. Barbuzzi, A. Galiano, Valeria Vitti, L. Pellicani","doi":"10.1504/IJBM.2017.10006484","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10006484","url":null,"abstract":"This paper presents experimental results related to a simplified and efficient face recognition system using a basic webcam. More specifically, the purpose of this work is two-fold: 1) to detect constantly the individual's face in front of the computer, in an uncontrolled environment; 2) to send an alert to the system manager if another individual's face is recognised. Sixteen distances based on 14 points of the face between eyes, nose and mouth are considered. Experimental results carried out on two different training sets are presented. The first database has been constructed on 500 real face images of ten individuals (50 faces each one), while the second database has been created on the same 500 previous images and 500 new synthetic data obtained through a crossover operation. For experimental evaluation, a 5-NN classifier is used. Finally, results show the performance in terms of a new correlation score for the recognition task.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125494641","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
An approach for facial expression classification 一种面部表情分类方法
Int. J. Biom. Pub Date : 2017-08-07 DOI: 10.1504/IJBM.2017.10006477
Ali Muhamed Ali, H. Zhuang, Ali K. Ibrahim
{"title":"An approach for facial expression classification","authors":"Ali Muhamed Ali, H. Zhuang, Ali K. Ibrahim","doi":"10.1504/IJBM.2017.10006477","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10006477","url":null,"abstract":"In this paper, a new method for facial expression classification is proposed, which uses the histograms of oriented gradients (HOG) algorithm to extract facial expression features and the sparse representation classifier (SRC) to classify facial expressions with a large variation of poses. The HOG algorithm was selected due to its effectiveness in picking up both local and global facial expression features in different orientations and scales, and the SRC was chosen because of its proven effectiveness in face recognition. A novelty of the proposed approach is that given a facial image for classification, its pose is determined first to select a pose-dependent dictionary for the SRC procedure. The paper also discusses ways of selecting parameters for improving the effectiveness of the HOG algorithm. The proposed method was applied to two multi-pose facial expression databases and satisfactory results were obtained for the majority of facial expressions under various poses.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122397204","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 efficient and reduced memory indexing approach based on priority rank spectral hashing for multibiometric database 基于优先级频谱散列的高效、低内存索引方法，适用于多生物特征数据库
Int. J. Biom. Pub Date : 2017-08-07 DOI: 10.1504/IJBM.2017.10006483
R. Balasundaram, G. Sudha
{"title":"An efficient and reduced memory indexing approach based on priority rank spectral hashing for multibiometric database","authors":"R. Balasundaram, G. Sudha","doi":"10.1504/IJBM.2017.10006483","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10006483","url":null,"abstract":"Fast retrieval of data from a multibiometric database is a challenging task as the size of the databases has increased considerably. For the retrieval to be faster, the search space has to be narrowed to a smaller set comprising of nearest neighbours. To achieve this, an appropriate data structure is to be built. Hence a novel priority rank-based spectral hashing algorithm is implemented to enhance the efficiency of indexing in a multibiometric database of iris and palmprints. To improve the matching accuracy, GIST feature extraction is used with weighted feature level fusion. From the experimental results, it is concluded that the proposed indexing algorithm has reduced storage cost by 85%, along with reduced penetration rate, false acceptance rate and false rejection rate. In addition, hit rate has improved by 25% compared to the existing kd tree technique.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126011942","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
Fingerprint representation and matching for secure smartcard authentication 安全智能卡认证的指纹表示和匹配
Int. J. Biom. Pub Date : 2017-08-07 DOI: 10.1504/IJBM.2017.10006478
I. M. El-leithy, G. Salama, T. Mahmoud
{"title":"Fingerprint representation and matching for secure smartcard authentication","authors":"I. M. El-leithy, G. Salama, T. Mahmoud","doi":"10.1504/IJBM.2017.10006478","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10006478","url":null,"abstract":"In this paper, a lightweight fingerprint-matching algorithm (4 kB) is proposed. This algorithm is based on matching features that are invariant to major transformations like translation and rotation. The algorithm can be executed on devices with low computing power and limited memory size. Thus, the matching algorithm is implemented on smartcard over the Java CardTM platform. The algorithm has an asymmetric terminating behaviour. Therefore, the execution time varies depending on correct positive matches (similar fingerprint) and correct negative matches (dissimilar fingerprint). In this paper, two fingerprint authentication methods are implemented. The first fingerprint authentication method is applied using one reference and one candidate fingerprints. However, the second method is performed by the aid of a fusion-based fingerprint authentication manner using two reference and one candidate fingerprints. The performance of the methods in terms of authentication accuracy is tested on some standard databases from the Fingerprint Verification Competition 2002 (FVC2002).","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129359350","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
Personal authentication based on finger knuckle print using quantum computing 基于量子计算指关节指纹的个人身份验证
Int. J. Biom. Pub Date : 2017-08-07 DOI: 10.1504/IJBM.2017.10006482
Ali Salem Altaher, S. Taha
{"title":"Personal authentication based on finger knuckle print using quantum computing","authors":"Ali Salem Altaher, S. Taha","doi":"10.1504/IJBM.2017.10006482","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10006482","url":null,"abstract":"The finger knuckle print (FKP) images are used for personal authentication. The proposed model consists of pre-processing of the FKP image and then feature extraction algorithm is applied to extract coefficients that will be used in the matching process. In the classification process, improved versions of neural networks [quantum neural network (QNN), wavelet neural network (WNN) and quantum wavelet neural network (QWNN)] are used to approach better accuracy and speed of convergence. This paper has precedence in implementation of the quantum computing (QC) in the structure of the FKP recognition system. It has advantages of low inexactness and high speed of execution by using the quantum superposition state ideology. A database gathered from 165 volunteers by Hong Kong Polytechnic University (Poly U) and the proposed authentication model performance is tested upon it. Compared with other existing FKP recognition systems, the proposed one has merits of more secure as well as high accuracy and speed.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130017491","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
A fingerprint matching algorithm using bit-plane extraction method with phase-only correlation 一种基于位平面提取的纯相位相关指纹匹配算法
Int. J. Biom. Pub Date : 2017-05-15 DOI: 10.1504/IJBM.2017.10005056
Florence Francis-Lothai, D. Bong
{"title":"A fingerprint matching algorithm using bit-plane extraction method with phase-only correlation","authors":"Florence Francis-Lothai, D. Bong","doi":"10.1504/IJBM.2017.10005056","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10005056","url":null,"abstract":"This paper introduces a new method in fingerprint feature extraction based on bit-plane. A bit-plane image requires smaller storage space than a greyscale image. Region of interest (ROI) of a fingerprint image is extracted by using a modified blob analysis method, and then the core point of the ROI is detected for dimension reduction process. Before bit-plane is extracted, the fingerprint image is enhanced by using Fourier transform. Bit-plane 7 of the enhanced image is used as the input for fingerprint matching with phase-only correlation (POC) function. Experiment results showed that the storage space requirement for a fingerprint database could be reduced up to 87% per image for a bit-plane image compared with a greyscale image. The proposed fingerprint matching algorithm achieves 81.16% of recognition rate on FVC2002-Db1a database and 89.78% on FingerDOS database.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133973840","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
A clustering-based indexing approach for biometric databases using decision-level fusion 基于聚类的决策级融合生物特征数据库索引方法
Int. J. Biom. Pub Date : 2017-05-15 DOI: 10.1504/IJBM.2017.10005051
Ilaiah Kavati, M. Prasad, C. Bhagvati
{"title":"A clustering-based indexing approach for biometric databases using decision-level fusion","authors":"Ilaiah Kavati, M. Prasad, C. Bhagvati","doi":"10.1504/IJBM.2017.10005051","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10005051","url":null,"abstract":"In this paper, we propose a clustering-based indexing mechanism for biometric databases. The proposed technique relies mainly on a small set of preselected images called representative images. First, the database is partitioned into set of clusters and one image from each cluster is selected for the representative image set. Then, for each image in the database, an index code is computed by comparing it against the representative images. Further, an efficient storage structure (i.e., index space) is developed and the biometric images are arranged in it like traditional database records so that a quick search is possible. During identification, list of candidates which are very similar to the query are retrieved from the index space. Further, to make full use of the clustering, we also retrieve the candidate identities from the selected clusters which are similar to query. Finally, the candidate identities from the index space and cluster space are fused using decision-level fusion. Experimental results on different databases show a significant performance improvement in terms of response time and identification accuracy compared to the existing indexing methods.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002329","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
Partial silhouette-based gait recognition 基于局部轮廓的步态识别
Int. J. Biom. Pub Date : 2017-05-15 DOI: 10.1504/IJBM.2017.10005047
S. Shaikh, K. Saeed, N. Chaki
{"title":"Partial silhouette-based gait recognition","authors":"S. Shaikh, K. Saeed, N. Chaki","doi":"10.1504/IJBM.2017.10005047","DOIUrl":"https://doi.org/10.1504/IJBM.2017.10005047","url":null,"abstract":"Gait analysis refers to identification of a person from the systemic study of the motions of his/her different body parts at the time of walking. It is one of the behavioural biometric approaches to human identification. Like other behavioural approaches, gait also suffers from low-repeatability leading to poor recognition accuracy. Therefore, multimodal systems are required for better recognition accuracy. With the advent of multimodal biometric systems there is a need for low-cost methods for individual biometric modalities so that the overall complexity of the system does not overshoot the real-time requirements. In view of this, a partial-silhouette-based approach for gait recognition is reported in this article. This approach is translation, rotation and scale invariant and is low-cost in terms of computational complexity. Experimental results and comparative performance analysis on benchmark dataset reveal the potential of the partial-silhouette-based approach.","PeriodicalId":262486,"journal":{"name":"Int. J. Biom.","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127337051","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
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