Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1041-1050 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Volume | 25 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 1 Sept 2003 |
Keywords
- Biometrics
- Low-resolution image
- Online palmprint identification
- Texture analysis
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics