传统的条码图像采集和识别是通过工业扫描枪。近年来,随着移动增值业务和3G技术的发展,2维条码在手机设备的应用中得到飞速发展。以Data Matrix为例，研究了基于嵌入式手机设备的2维条码识别技术。首先根据Data Matrix条码的特点，给出了一种基于链码跟踪和线段检测的快速Data Matrix检测算法。接着分析了条码信号经过点扩展函数卷积后的降质模型，并利用维纳滤波对条码信号进行反模糊滤波。最后,针对透视畸变的现象，设计了一种适合于嵌入式手机设备的快速反透视算法。实验结果表明，提出的识别算法具有优秀

Traditionally, bar codes are captured and recognized by industrial scanner In recent years, with the development of mobile value-added services and 3G technology, the application of two-dimensional bar codes in mobile phones develops rapidly Taking Data Matrix as an example, the recognition technology of the two-dimensional bar code for embedded mobile phones is researched in this paper First, a fast bar codes detection algorithm based on chain code tracing and line detection is proposed according to the character of Data Matrix Then the model of blurred bar code signal caused by the point spread function is analyzed, and Wiener filter is used to recover the signal At last, aiming at perspective geometrical distortion, a fast inverse perspective transformation algorithm is designed, which is suitable for embedded mobile phones The experimental results show that the performance of the algorithm proposed in this paper is excellent It can achieve higher recognition rate and faster speed, which suffices to the requirement of the practical use