摘要
论文围绕ARM9核心的硬件平台,研究在Linux上实现手写体数字的自动识别的方法。通过分析手写体识别技术的发展状况,ARM核心系列芯片的应用情况,说明了在ARM平台上实现手写体数字识别功能的可行性。对液晶及触摸屏进行了配置及调试,最后将Linux系统移植到ARM平台上。并结合当今图像识别技术的发展,阐述了模式识别问题中图像预处理的主要方法,分析了图像预处理过程中各个模块的数学原理。
This dissertation discusses the methods of the realization of handwritten numerals automatic recognition in Linux based on the ARM9 hardware platform. By analyzing the development status of handwriting recognition technology and the application of ARM core chips, illustrated the realization feasibility of handwritten numeral recognition function on ARM platform. And then configurated and de- bugged the LCD and the touch screen. Finally migrated Linux system to ARM platform, and combined the development of the current image recognition technology, this paper expounded the main methods of image preproeessing in pattern recognition problems, analyzed the mathe- matics principles of each module in the image pretreatment process.
出处
《计算机与数字工程》
2013年第9期1498-1500,1510,共4页
Computer & Digital Engineering
