For the numbers and letters,a handheld scanning and recognition system was designed,and the methods about lin-ear CCD image acquisition,processing and recognition in non-ideal environment were proposed.The FPGA was used as the core in hardware design.The binarization,de-noising,smoothing processing and other comprehensive algorithm were employed to achieve the image preprocessing.The skew correction,backbone extraction,character matching and other methods were used to complete the character identification in the Visual Studio platform.The simulation results show that the proposed algorithm has good treat-ment effect on numbers and letters.%设计了一种针对数字和字母的手持式扫描与识别系统，提出了线阵CCD在非理想环境下的图像采集、处理和识别的方法。以FP GA为核心芯片设计了硬件电路，使用二值化、剔除噪声和平滑处理等综合算法完成了图像预处理，在Visual Studio开发平台上，使用倾斜校正、骨干提取和字符比对等方法完成了字符的识别，仿真实验验证了所提方法对数字和字母图像具有良好的处理与识别效果。
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