원문정보
초록
영어
As a kind of biometric identification technology Palmprint identification has many characteristics such as large information quantity, high discriminatory power and strong anti-interference ability and so on. The palmprint acquisition and recognition system can be divided into four modules: palmprint image acquisition, preprocessing, feature extraction and feature matching. For completing the hardware design of Nios II processor, image acquisition and recognition module we adopt SOPC Builder, DSP Builder, IDE development tools and Verilog, C programming language. In this system we integrated the verifying algorithm, system design models and variety function interface in a FPGA chip. This method has many obvious advantages such as updatable algorithm, reconfigurable hardware and software and high operational reliability. Experimental results showed that the system meets the real-time authentication and reliable requirement of identification besides it has the reusable ability of system platform.
목차
1. Introduction
2. Image Preprocess
2.1. Image Color Transformation
2.2. Palmprint Image Histogram Equalization
2.3. Median Filter
2.4. Image Binarization
3. Feature Extraction
3.1. EdgeDetection
3.2. The Determination of Anchor Point
3.3. Build the Coordinate System
3.4. Image Rotation
4. Realize the Palmprint Acquisition Algorithm on FPGA
4.1. Histogram Processing Module
4.2. Median Filter Module
4.3. Edge Detection Module
5. Experiment and Result Analysis
6. Conclusion
References