人工智能
计算机科学
生物识别
特征提取
计算机视觉
鉴定(生物学)
模式识别(心理学)
掌纹
编码(内存)
识别方案
特征(语言学)
数据挖掘
语言学
哲学
植物
生物
度量(数据仓库)
作者
David Zhang,Wai-Kin Kong,Jane You,Michael Wong
标识
DOI:10.1109/tpami.2003.1227981
摘要
Biometrics-based personal identification is regarded as an effective method for automatically recognizing, with a high confidence, a person's identity. This paper presents a new biometric approach to online personal identification using palmprint technology. In contrast to the existing methods, our online palmprint identification system employs low-resolution palmprint images to achieve effective personal identification. The system consists of two parts: a novel device for online palmprint image acquisition and an efficient algorithm for fast palmprint recognition. A robust image coordinate system is defined to facilitate image alignment for feature extraction. In addition, a 2D Gabor phase encoding scheme is proposed for palmprint feature extraction and representation. The experimental results demonstrate the feasibility of the proposed system.
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