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基于C#技术实现身份证识别功能

2020-01-24 01:03:00
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最近研究C#相关的ORC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,这里介绍三种身份证识别的方法。

一:调用大公司API接口,百度、云脉,文通科技都有相关的API介绍。

二:调用图像处理类库,EmguCV是OpenCV的一个跨平台的.Net封装,该封装也可以被编译到Mono平台和允许在Windows、Mac OS、Android、iPhone、iPad等多个平台上运行

三:调用Office2007 组件

一、证件识别API接口

以聚合数据中的API接口为例,因为官方API没有提供C#的调用方式,网址如下:证件识别接口

/// <summary>/// 上传图片/// </summary>/// <returns></returns>public static string CardUpload(){try{string appkey = "网站自己申请的key"; //配置您申请的appkey HttpPostedFile file = HttpContext.Current.Request.Files[0];string url = "http://api2.juheapi.com/cardrecon/upload";var parameters = new Dictionary<string, string>();parameters.Add("key", appkey);parameters.Add("cardType", "2");string result = HttpPostData(url, 60000, "pic", file.InputStream, parameters);JObject info = JObject.Parse(JObject.Parse(result)["result"].ToString());var cardInfo = new{name = info["姓名"],card = info["公民身份号码"]};return cardInfo.ToJson();}catch (Exception ex){return ex.ToString();}}/// <summary>/// Post调用API/// </summary>/// <param name="url">api地址</param>/// <param name="timeOut">访问超时时间</param>/// <param name="fileKeyName">文件参数名</param>/// <param name="file">文件流</param>/// <param name="stringDict">参数列表</param>/// <returns>结果集</returns>private static string HttpPostData(string url, int timeOut, string fileKeyName,Stream file, Dictionary<string, string> stringDict){string responseContent;var memStream = new MemoryStream();var webRequest = (HttpWebRequest)WebRequest.Create(url);// 边界符var boundary = "---------------" + DateTime.Now.Ticks.ToString("x");// 边界符var beginBoundary = Encoding.ASCII.GetBytes("--" + boundary + "/r/n");// 最后的结束符var endBoundary = Encoding.ASCII.GetBytes("--" + boundary + "--/r/n");// 设置属性webRequest.Method = "POST";webRequest.Timeout = timeOut;webRequest.ContentType = "multipart/form-data; boundary=" + boundary;//写入开始边界符memStream.Write(beginBoundary, 0, beginBoundary.Length);// 写入文件const string filePartHeader ="Content-Disposition: form-data; name=/"{0}/"; filename=/"{1}/"/r/n" +"Content-Type: application/octet-stream/r/n/r/n";var header = string.Format(filePartHeader, fileKeyName, "card.jpg");var headerbytes = Encoding.UTF8.GetBytes(header);memStream.Write(headerbytes, 0, headerbytes.Length);file.CopyTo(memStream);// 写入字符串的Keyvar stringKeyHeader = "/r/n--" + boundary +"/r/nContent-Disposition: form-data; name=/"{0}/"" +"/r/n/r/n{1}/r/n";foreach (byte[] formitembytes in from string key in stringDict.Keysselect string.Format(stringKeyHeader, key, stringDict[key])into formitemselect Encoding.UTF8.GetBytes(formitem)){memStream.Write(formitembytes, 0, formitembytes.Length);}// 写入最后的结束边界符memStream.Write(endBoundary, 0, endBoundary.Length);webRequest.ContentLength = memStream.Length;// 构造完毕,执行POST方法var requestStream = webRequest.GetRequestStream();memStream.Position = 0;var tempBuffer = new byte[memStream.Length];memStream.Read(tempBuffer, 0, tempBuffer.Length);memStream.Close();requestStream.Write(tempBuffer, 0, tempBuffer.Length);requestStream.Close();var httpWebResponse = (HttpWebResponse)webRequest.GetResponse();using (var httpStreamReader = new StreamReader(httpWebResponse.GetResponseStream(),Encoding.GetEncoding("utf-8"))){responseContent = httpStreamReader.ReadToEnd();}httpWebResponse.Close();webRequest.Abort();return responseContent;}

二、EmguCV类库调用

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。

C#进行识别,需进行图片二值化处理和OCR调用相关DLL可在我整理的地址下载:360云盘 提取码:89f4
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

相关代码如下:

using System;using System.Collections.Generic;using System.ComponentModel;using System.Data;using System.Drawing;using System.Linq;using System.Text;using System.Windows.Forms;using Emgu.CV;using Emgu.CV.OCR;using Emgu.CV.Structure;using System.IO;namespace ImageManage{public partial class Form1 : Form{Image<Gray, Byte> imageThreshold;public Form1(){InitializeComponent();}private void btn_convert_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.Recognize(imageThreshold);String text = _ocr.GetText();this.textBox1.Text = text;}private void pictureBox1_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;}}}

三、Office 2007组件

该组件免费而且识别度比较高。

环境搭建

Office 2007组件MODI,需要安装Ofiice2007,且由于兼容性需要安装补丁,SP1或者SP2都行,补丁下载地址如下:

SP1下载地址 SP2下载地址

安装后控制面板-->卸载或更新程序-->选择Office2007-->选择更改-->选择添加或修复功能-->弹出下面界面,运行相应组件。

将Office工具-->Microsoft Office Document Imaging 下的工具运行

在C#项目中引用Com组件即可:

如果Office组件应用不是在本地程序而需要部署在IIS上,还需将应用程序的应用池的权限设置为如下图所示:程序应用池-->高级设置-->标识

Demo

StringBuilder sb = new StringBuilder();MODI.Document doc = new MODI.Document();doc.Create(fullFileName);MODI.Image image;MODI.Layout layout;doc.OCR(MODI.MiLANGUAGES.miLANG_CHINESE_SIMPLIFIED, true, true); // 识别文字类型for (int i = 0; i < doc.Images.Count; i++){image = (MODI.Image)doc.Images[i];layout = image.Layout;sb.Append(layout.Text);}

以上即一些C#进行身份证识别的方法,可根据自己项目的不同需求进行选用。

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