Enhanced Biometric Score Fusion Scheme Based on the AdaBoost Algorithm

Information fusion in biometric systems, either multimodal or intramodal fusion, usually provides an improvement in recognition performance. This paper presents an improved score-level fusion scheme called boosted score fusion. The proposed framework is a two-stage design where an existing fusion algorithm is adopted at the first stage. At the second stage, the weights obtained by the AdaBoost algorithm are utilized to boost the performance of the previously fused results. The experimental results demonstrate that the performance of several score-level fusion methods can be improved by using the presented method.     

基于SURF算子的快速手背静脉识别

提出基于加速鲁棒性特征(speeded-up robustfeatures,SURF)的手背静脉识别算法.首先对手背静脉图像进行预处理,提取手背静脉感兴趣区域(ROI),然后提取手背静脉的局部SURF特征,基于欧式距离实现测试样本和注册样本特征点的匹配,并剔除错误匹配对,最后计算匹配率作为待识别样本和注册样本之间的相似度测试实现身份识别.利用TJU手背静脉图像数据库对算法性能进行测试,在认证模式下等错率为0.07%,平均识别时间0.153 s.实验结果证明该算法可以快速有效地实现手背静脉识别.     

基于序列图像提取稳定特征点的虹膜识别算法

为了尽可能降低不稳定特征点对识别率的影响,研究提出了基于序列图像提取稳定特征点的虹膜识别算法.该算法首先用二维Gabor滤波器对序列虹膜图像提取特征编码,然后对该序列特征编码求交集以提取稳定特征点,并利用这些稳定特征点建立虹膜的特征模板库,最后通过计算相似度,获得识别结果.在实验室采集的序列虹膜图库上,当等错率为0.3017%,分类阈值为0.6402时,正确识别率可以达到99.73%.实验证明该算法是有效、可行的,并更好地提高了虹膜的分类精度和改善了虹膜的识别性能.     

Iris Recognition Technique

The demand on security is increasing greatly in these years and biometric recognition gradually becomes a hot field of research. Iris recognition is a new branch of biometric recognition, which is regarded as the most stable, safe and accurate biometric recognition method. In these years, much progress in this field has been made by scholars and experts of different countries. In this paper, some successful iris recognition methods are listed and their performance are compared. Furthermore, the existing problems and challenges are discussed.     

生物识别技术的新星——三维人脸识别技术

Bioscrypt第一个推出了全球突破性的三维人脸生物识别技术和产品,在业界创造了领导地位。由于人的脸部不是平坦的,所以三维人脸识别技术的算法比二维(平面)的算法有更高的精确度,远远领先其他的人脸识别产品,三维人脸识别技术适用于安全度要求高的门禁控制、边境管制、电子护照和签证等身份验证。     

A multimodal biometric test bed for quality-dependent, cost-sensitive and client-specific score-level fusion algorithms

This paper presents a test bed, called the Biosecure DS2 score-and-quality database, for evaluating, comparing and benchmarking score-level fusion algorithms for multimodal biometric authentication. It is designed to benchmark quality-dependent, client-specific, cost-sensitive fusion algorithms. A quality-dependent fusion algorithm is one which attempts to devise a fusion strategy that is dependent on the biometric sample quality. A client-specific fusion algorithm, on the other hand, exploits the specific score characteristics of each enrolled user in order to customize the fusion strategy. Finally, a cost-sensitive fusion algorithm attempts to select a subset of biometric modalities/systems (at a specified cost) in order to obtain the maximal generalization performance. To the best of our knowledge, the BioSecure DS2 data set is the first one designed to benchmark the above three aspects of fusion algorithms. This paper contains some baseline experimental results for evaluating the above three types of fusion scenarios.     

Real estate e-conveyancing: vision and risks

More then 150 years had passed since English solicitors expressed their vision of a land registration system in which land transactions are quickly and smoothly registered at the same manner in which securities are transferred in the stock exchange. This vision led to the development of the Torrens system and to its expansion in various sides of the globe. Yet the reality of land conveyancing was far from accomplishing this old vision. The process of registration in many jurisdictions suffered from bureaucratic delays and was, and in many jurisdictions still is, based on analogical paper-based documentation system. Though many systems had gone through a computerization process, it dealt with the presentation of manually entered information rather than direct and automatic registration of digital applications. It was only the last decades of the twentieth century that brought to reality the idea of real estate e-conveyancing according to which a land transaction should be automatically processed and registered from the stage of the application to the stage of final registration. A few countries made a great deal of effort to develop such a system but yet there is a way ahead until its conclusive implementation. Israel land registry is going to launch an e-registration project as well. The article analyzes the vision of e-conveyancing and compares it to the current progress of the e-conveyancing projects around the world. It shows that the safe identification of parties, documents and signatures is the major problem of all the newly developed e-conveyancing systems and that this problem is the main obstacle that prevents a full scale implementation of e-conveyancing.     

Robust ear based authentication using Local Principal Independent Components

This paper presents the ear based authentication using Local Principal Independent Components (LPIC) an extension of PCA. As PCA is a global approach dealing with all pixel intensities, it is difficult to get finer details from the ear image. The concept of information sets is introduced in this paper so as to have leverage over the local information. These sets are based on the granularization of the ear image in the form of windows. The features based on these sets allow us to change the local information which goes into LPIC as the input. Thus LPIC not only uses this local information but also helps to reduce the dimensions of the deduced features far less than that can be achieved with PCA. For the extraction of sparse information from ear, features such as Effective information (EI), Energy feature (EF), Sigmoid feature (SF), Multi Quadratic feature (MQD) are derived and then LPIC is applied to get the reduced number of features. Inner product classifier (IPC) is developed for the classification of these features. The experiments carried out on constrained and unconstrained databases show that LPIC is effective not only under the ideal conditions but also under the unconstrained environment.     

Secure Face Authentication Framework in Open Networks

In response to increased security concerns, biometrics is becoming more focused on overcoming or complementing conventional knowledge and possession‐based authentication. However, biometric authentication requires special care since the loss of biometric data is irrecoverable. In this paper, we present a biometric authentication framework, where several novel techniques are applied to provide security and privacy. First, a biometric template is saved in a transformed form. This makes it possible for a template to be canceled upon its loss while the original biometric information is not revealed. Second, when a user is registered with a server, a biometric template is stored in a special form, named a ‘soft vault’. This technique prevents impersonation attacks even if data in a server is disclosed to an attacker. Finally, a one‐time template technique is applied in order to prevent replay attacks against templates transmitted over networks. In addition, the whole scheme keeps decision equivalence with conventional face authentication, and thus it does not decrease biometric recognition performance. As a result, the proposed techniques construct a secure face authentication framework in open networks.     

手指静脉识别技术

相对于指纹识别等传统生物特征识别,手指静脉识别是一种新兴的具有较好应用前景的生物特征识别技术。综述了手指静脉识别的基本原理和关键技术,包括手指静脉图像采集、预处理、特征提取和匹配等;对与手指静脉识别有关的多生物特征技术进行了归纳总结,并对手指静脉识别技术存在的问题和未来的研究方向进行了讨论。