Nonparametric analysis of fingerprint data on large data sets

By executing different fingerprint-image matching algorithms on large data sets, it reveals that the match and non-match similarity scores have no specific underlying distribution function. Thus, it requires a nonparametric analysis for fingerprint-image matching algorithms on large data sets without any assumption about such irregularly discrete distribution functions. A precise receiver operating characteristic (ROC) curve based on the true accept rate (TAR) of the match similarity scores and the false accept rate (FAR) of the non-match similarity scores can be constructed. The area under such an ROC curve computed using the trapezoidal rule is equivalent to the Mann-Whitney statistic directly formed from the match and non-match similarity scores. Thereafter, the Z statistic formulated using the areas under ROC curves along with their variances and the correlation coefficient is applied to test the significance of the difference between two ROC curves. Four examples from the extensive testing of commercial fingerprint systems at the National Institute of Standards and Technology are provided. The nonparametric approach presented in this article can also be employed in the analysis of other large biometric data sets.     

UML在IFIS智能指纹鉴别系统开发中的应用

ML是一种面向对象的建模语言,广泛应用于以用例为驱动、以体系结构为中心、迭代及增量的软件开发过程中。文中主要阐述了UML面向对象分析和设计思想在IFIS智能指纹鉴别系统开发过程中的应用,包括需求分析、系统设计和实现。     

指纹方向图提取算法研究

在指纹图像处理中方向图计算的精确性对于后继处理步骤有很大影响,所以研究指纹方向图的提取算法显得格外重要。指纹方向图提取的算法有很多,该文分别给出点方向图和块方向图两类重要的算法,实验证明了其可靠性。     

基于指纹识别技术的无线指纹保管箱系统

指纹识别技术是目前最为成熟的生物特征识别技术，在各种场合用于人的身份识别。阐述了指纹识别技术的基本特征，介绍了采用无线指纹识别技术的指纹保管箱系统，该系统克服了传统保管箱系统的安全漏洞，与普通的网络型集中控制指纹保管箱系统相比，安装更加方便、维护简单、更具客户化优势。     

Extracting biometric binary strings with minimal area under the FRR curve for the hamming distance classifier

Extracting binary strings from real-valued biometric templates is a fundamental step in template compression and protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch and helper data systems. Quantization and coding are the straightforward way to extract binary representations from arbitrary real-valued biometric modalities. Afterwards, the binary strings can be compared by means of a Hamming distance classifier (HDC). One of the problems of the binary biometric representations is the allocation of quantization bits to the features. In this paper, we first give a theoretical model of the HDC, based on the features’ bit error probabilities after the quantization. This model predicts the false acceptance rate (FAR) and the false rejection rate (FRR) as a function of the Hamming distance threshold. Additionally, we propose the area under the FRR curve optimized bit allocation (AUF-OBA) principle. Given the features’ bit error probabilities, AUF-OBA assigns variable numbers of quantization bits to features, in such way that the analytical area under the FRR curve for the HDC is minimized. Experiments of AUF-OBA on the FVC2000 fingerprint database and the FRGC face database yield good verification performances. AUF-OBA is applicable to arbitrary biometric modalities, such as fingerprint texture, iris, signature and face.     

灯盏花素注射液指纹图谱的建立及质量相关性研究

目的：应用高效液相色谱法建立灯盏花素注射液指纹图谱。方法：Hanbon C18（5μm,250nm×4.6nm）,柱温25℃,检测波长335nm,流速为1ml.min-1,流动相：甲醇（A）-0.4%磷酸缓冲液（B）梯度洗脱。结果：确定了不同批次灯盏花素指纹图谱的特征指纹图谱及相似度。结论：本方法稳定可靠,重复性好,可...     

基于指纹信息的证件印刷防伪技术

在研究指纹识别技术、数字水印技术、加密技术和印刷技术等基础上,提出了一项证件防伪认证新方法。将证件持有者的指纹图像作为水印嵌入到证件载体中,采用全息水印加密技术增强水印方法信息的安全性并实现其防伪。然后利用现有的打印机直接打印生成带有加密水印信息的证件印刷品。在认证过程中,检测方利用普通的扫描仪得到证件图像信息,然后用已得到的解密密钥通过盲水印提取方法将水印信息提出出来,解密处理以后并结合现场采集的指纹图像进行认证。从数字水印和指纹识别技术相结合的角度,利用数字水印的隐藏性和和指纹识别的唯一性实现了对证件持有者身份的安全认证。该技术具有信息采集与生成方法简单,制作成本低,认证安全性高等特点,具有很高的推广应用价值基于生物特征的证件印刷防伪技术     

基于指纹识别的B/S结构安全系统的实现

实现了一个基于指纹识别与认证的B／S结构的安全系统框架。该系统用指纹采集设备读取指纹数据，在B／S结构的应用系统中识别与认证：系统基于微软．Net框架进行设计，利用其丰富的类库和XML技术，运用远程对象、数据组装加密等关键技术，采取指纹数据识别与认证、分级安全策略等措施，有效提高了系统整体的安全性，具有一定的实用价值。     

A secure fingerprint template generation mechanism using visual secret sharing with inverse halftoning

Fingerprints are the most popular and widely practiced biometric trait for human recognition and authentication. Due to the wide approval, reliable fingerprint template generation and secure saving of the generated templates are highly vital. Since fingers are permanently connected to the human body, loss of fingerprint data is irreversible. Cancelable fingerprint templates are used to overcome this problem. This paper introduces a novel cancelable fingerprint template generation mechanism using Visual Secret Sharing (VSS), data embedding, inverse halftoning, and super-resolution. During the fingerprint template generation, VSS shares with some hidden information are formulated as the secure cancelable template. Before authentication, the secret fingerprint image is reconstructed back from the VSS shares. The experimental results show that the proposed cancelable templates are simple, secure, and fulfill all the properties of the ideal cancelable templates, such as security, accuracy, non-invertibility, diversity, and revocability. The experimental analysis shows that the reconstructed fingerprint images are similar to the original fingerprints in terms of visual parameters and matching error rates.