Recently, biometrics-based personal identification is regarded as an effective method of
person's identity with recognition automation and high performance. In this paper, the …

掌纹识别是利用人的手掌掌纹图像对其身份进行认证的一种生物特征识别技术.
目前的掌纹研究主要集中在掌纹特征线的提取算法上, 而对特征线的筛选和匹配的问题讨论较少 …

Traditional methods of biometric analysis are unable to overcome the limitations of existing
approaches, mainly due to the lack of standards for input data, privacy concerns involving …

掌纹作为一种新的生物特征可用来进行人的身份识别. 论文提出了将二维主成分分析方法(
2DPCA) 应用于掌纹识别的特征提取, 并在PolyU 掌纹数据库上利用最近邻分类器与余弦距离 …

A feature extraction method of palmprint recognition based on Two-Dimensional Principal
Component Analysis (2DPCA) is proposed in this work. A series of experiments were …

2. Background Information Computer-aided recognition of individuals is becoming
increasingly important in our information Society. Biometrics is one of the most important and …

In today's world, biometrics system is used almost everywhere for the security and personal
recognition. The palmprint is one of the most reliable physiological characteristics that can …

As an emerging biometric technology, palmprint recognition has been extensively
researched due to its easy collection, user friendliness, high verification accuracy and …

掌纹识别作为生物特征技术的一个重要分支, 以其信息丰富, 采集简便和稳定性强而作为疾病
早期诊断和身份识别的重要依据, 而其中主线的提取一直是识别的关键. 本文讨论了一种提取 …

A practical method for a noncontacting and real-time feature extraction for personal
authentication is proposed. The finger geometry and feature extraction of the palmar flexion …