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来源：百度知道 编辑：UC知道 时间：2024/05/27 09:26:06
随着社会的发展,字符由于其简洁方便而使用越来越广泛，如IC芯片、身份证、汽车牌照、信件、银行支票等上都有重要的字符信息，这些字符以大小写英文和数字字符为主，对这些字符的自动识别已成为模式识别的一项重要内容。IC芯片表面字符主要包括厂商名称和序列号，自动快速准确识别这些字符对于IC芯片制造及其应用具有重要意义。目前，字符识别主要有人工目测、模板匹配和神经网络等方法，人工目测方法由于人为因素的影响容易发生误测并易使人疲劳，模板匹配要求字符比较完好，容错泛化能力不强。人工神经网络模式识别方法是近些年提出的新方法，它具有良好的容错能力、分类能力、并行处理能力和自学习能力等优点。
本文将主要分析芯片表面字符的数字图象处理，对芯片字符的处理包括字符的采集、256级灰度化、滤波、二值化、去离散噪声、芯片字符区域定位、倾斜调整、字符分割、归一化、重排等。重点研究了芯片的256级灰度化、二值化，区域定位，归一化和重排等。通过对芯片表面字符的数字图象处理，我们可以得到一张很清晰的图象，这个图片将对芯片的识别做了很好的铺垫。

Along with society's development, the character uses as a result of its succinct convenience is getting more and more widespread, like the IC chip, the ID card, the license plate, the letter, the bank check on and so on have the important character information, these characters by the big small letter English and the alphanumeric character primarily, have become the pattern recognition to these character's automatic diagnosis an important content. The IC chip surface character mainly includes the manufacturer name and the series number, automatic fast distinguishes these characters accurately has the important meaning regarding the IC chip manufacture and the application. At present, the character recognition mainly has manual methods and so on range estimate, template matching and neural network, the man-power measures with the eye the method, because human factor's influence easy to occur measures and Yi Shiren by mistake is weary, the template matching request charact