最近研究c#相关的ocr技术，图像识别一般c和c++这种底层语言做的比较多，c#主要是依托一些封装好的组件进行调用，这里介绍一种身份证识别的方法。
环境搭建
下载地址：emgucv官网
在file类别下下载这个exe，进行安装，安装后在目录下能找相应组件，还有些应用的案例。
dll文件夹中的dll引用到c#项目中，x64，x86，tessdata对应ocr识别的类库和语言库，我tessdata中已添加中文语言包，将这三个文件夹放入程序执行文件夹中。
demo
自己做的小demo如图：身份证图片是百度上下载的
不得不说这个类库唯一弊端就是文字识别率太低，图像识别效果也不太好
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using system;using system.collections.generic;using system.componentmodel;using system.data;using system.drawing;using system.linq;using system.text;using system.threading.tasks;using system.windows.forms;using emgu.cv;using emgu.cv.ocr;using emgu.cv.structure;using system.io;namespace emgucv{ public partial class form1 : form { image<gray, byte> imagethreshold; public form1() { initializecomponent(); picturebox1.enabled = false; } private void form1_load(object sender, eventargs e) { } private void button1_click(object sender, eventargs e) { //第一个参数是语言包文件夹的地址，不写默认在执行文件夹下 tesseract _ocr = new tesseract(@"", "chi_sim", ocrenginemode.tesseractonly); _ocr.setimage(imagethreshold); _ocr.recognize(); string text = _ocr.getutf8text(); this.textbox1.text = text; } private void picturebox2_click(object sender, eventargs e) { openfiledialog of = new openfiledialog(); of.title = "请选择图片"; if (of.showdialog() == dialogresult.ok) { string file = of.filename; image img = image.fromfile(file); picturebox1.image = img; } bitmap bitmap = (bitmap)this.picturebox1.image; image<bgr, byte> imagesource = new image<bgr, byte>(bitmap); image<gray, byte> imagegrayscale = imagesource.convert<gray, byte>(); imagegrayscale = randon(imagegrayscale); imagethreshold = imagegrayscale.thresholdbinary(new gray(100), new gray(255)); this.picturebox2.image = imagethreshold.tobitmap(); } /// <summary> /// 旋转校正 /// </summary> /// <param name="imageinput"></param> /// <returns></returns> private image<gray, byte> randon(image<gray, byte> imageinput)//图像投影旋转法倾斜校正子函数定义 { int nwidth = imageinput.width; int nheight = imageinput.height; int sum; int sumofcha; int sumofchatemp = 0; int[] sumhang = new int[nheight]; image<gray, byte> resultimage = imageinput; image<gray, byte> imrotaimage; //20度范围内的调整 for (int ang = -20; ang < 20; ang = ang + 1) { imrotaimage = imageinput.rotate(ang, new gray(1)); for (int i = 0; i < nheight; i++) { sum = 0; for (int j = 0; j < nwidth; j++) { sum += imrotaimage.data[i, j, 0]; } sumhang[i] = sum; } sumofcha = 0; for (int k = 0; k < nheight - 1; k++) { sumofcha = sumofcha + (math.abs(sumhang[k] - sumhang[k + 1])); } if (sumofcha > sumofchatemp) { resultimage = imrotaimage; sumofchatemp = sumofcha; } } return resultimage; } private void picturebox1_click(object sender, eventargs e) { } }} |
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原文链接：http://www.cnblogs.com/AlexZha/p/7171927.html?utm_source=tuicool&utm_medium=referral
