【作者】 张俊；

【导师】 欧宗瑛；

【作者基本信息】 大连理工大学 ， 机械设计及理论， 2006， 硕士

【摘要】 基于生物特征的识别技术在社会生活中具有越来越重要的地位和作用。在多种生物特征中，基于掌纹特征的识别因为具有无侵害性、成本低、隐蔽性、不需要被测者特殊配合等优点，得到广泛的关注和重视，具有广泛的应用前景。 本文研究了掌纹识别的相关技术，并开发了一套掌纹识别与比对原型系统。论文主要做了以下的工作： 1．研究了掌纹识别相关的图像预处理技术，包括掌纹有效区域的定位和灰度预处理，提出了基于最大内切圆的定位方法。 2．分析并对比了各种掌纹识别算法的优缺点，选择了Fisher掌方法作为系统的掌纹识别算法，采用Gabor小波变换来增强掌纹识别在光照变化下的鲁棒性和提高识别效率。详细介绍了这种掌纹识别算法的原理，用选定的评测标准对掌纹识别算法进行了测试。实验结果表明，本文的识别算法比Fisher掌的方法取得了更好的识别效果。 3．基于系统的需求分析和功能分析，确定了系统的工作流程和系统的各个功能模块。并根据各个功能模块，设计了掌纹识别与比对原型系统的用户界面、注册、识别和比对等功能的具体实现方案，并分析了系统要实现的关键技术。 4．开发出了一个实际的掌纹识别与比对原型系统，系统实现了实时的掌纹定位，子图预处理，特征提取，用户注册，用户识别，用户比对等功能。然后在公开的掌纹库和实际环境中对系统的各种性能指标进行了测试。实验结果表明，本文开发的系统达到了很高的识别率(EER＜5％)和实时性要求。更多还原

【Abstract】 Biometric technologies are becoming the foundation of new generational solutions for highly secure identification and personal verification. Palmprint recognition and verification are gaining popularity and diverse applications for the reason that they are considered to be non-invasive, low cost, and natural biometric technologies.This thesis studies palmprint recognition and develops a palmprint recognition and verification prototype system. The main contents of the thesis are listed as follows:1. Image preprocessing technologies for palmprint recognition are studied. The alignment of ROI(Region of Interest) and gray preprocessing are discussed. The alignment of ROI based on maximal inscribed circle is presented.2. Advantages and disadvantages of current palmprint recognition technologies are discussed. A new algorithm named Fisherpalm is proposed. And Gabor wavelet is selected to enhance the robust to lighting variations and efficiency. The principle of Fisherpalm algorithm is introduced in detail. Functions of the algorithm are tested using the proposed evaluation criterion. The experimental results indicate that the proposed algorithm provides better performance compared with Fisherpalm algorithm.3. Based on the requirement and functional analysis of the system, the workflow and functional modules of the system are made. The palmprint recognition and verification prototype system’s schemes of the interface, enrollment, recognition and verification are designed and the key techniques for the system are analyzed.4. A palmprint recognition and verification prototype system is developed with functions of ROI alignment, sub-image preprocessed, features extracted, user enrollment, user recognition and user verification. The performance of the system is tested on public palmprint database(BAC2005 and PolyU_Palmprint_Database) and real-life application environment. The experimental results indicate that the system achieves high recognition rate (EER <5%) at real-time working environment.更多还原