中文摘要：

基于OMAP3530双核平台实现一个嵌入式多光谱掌纹识别系统。采用PalmCode掌纹识别算法，通过融合掌纹与手掌静脉提高系统防伪性，同时使算法的准确率从可见光的91．33％提高到95．33％。在OMAP3530实现时，让具有强大运算能力的DSP处理器专注于复杂的特征提取运算，ARM处理器则负责图像采集、外设控制、任务调度及用户交互。所设计的系统集成图像采集模块和中心处理主板，识别率高、防伪性强并且具备实时处理性能。

英文摘要：

We implement an embedded multispectral palmprint recognition system using dual-core OMAP3530 platform. We uses Palm Cade palmprint recognition algorithm, enhance the system anti-spoof property by integrating the palmprint with palm vein, at the same time improve system accuracy from 91.33% to 95.33% for visible light. When implementing the system on OMAI~530, DSP processor with powerful operation capability is employed to concentrate on the complicated feature extraction operation, and the ARM processor is engaged in image capture, peripheral control, task scheduling and user interaction. By integrating the image capture module and the central processing board, the designed system has high recognition rate, strong anti-spoof capability and possesses the performance of real-time processing.