之前写了一篇利用百度OCR进行本地和网络图片识别文字的文章，点击查看。今天补充识别身份证图片的文章及demo

源码地址：https://download.csdn.net/download/horseroll/10922409

效果图展示：

请求参数：

返回参数：

1.先引用AIPSDK.dll和Newtonsoft.Json.dll这两个DLL

然后在全局变量中声明变量，在窗体加载事件中new个类，传入API_KEY和SECRET_KEY

string API_KEY = "cohIahxAt7HveHLYSHYK6G5N";

string SECRET_KEY = "e8SAsDIWSK9NPUKviYiPQNlfaVDXQSY5";

private void frm_IDCardImgToTxt_Load(object sender, EventArgs e)

{

    client = new Baidu.Aip.Ocr.Ocr(API_KEY, SECRET_KEY);

    client.Timeout = 60000;  // 修改超时时间

}

2.传入图片地址，识别图片，返回识别结果

/// <summary>

/// 身份证识别

/// </summary>

/// <param name="filename"></param>

/// <returns></returns>

public string IdcardDemo(string filename)

{

    bool cardjiaodu = cbjiaodu.Text == "true" ? true : false;

    string cardzhengfan = cbzhengfan.Text == "front" ? "front" : "back";

    bool cardfengxian = cbfengxian.Text == "true" ? true : false;

    var image = File.ReadAllBytes(filename);

    var idCardSide = "back";

    // 调用身份证识别，可能会抛出网络等异常，请使用try/catch捕获

    var result = client.Idcard(image, idCardSide);

    Console.WriteLine(result);

    // 如果有可选参数

    var options = new Dictionary<string, object>{

{"detect_direction", cardjiaodu.ToString()},

{"detect_risk", cardfengxian.ToString()},

        {"id_card_side",cardzhengfan.ToString() }

};

    // 带参数调用身份证识别

    result = client.Idcard(image, idCardSide, options);

    return result.ToString();

}

3.识别后的json内容进行输出

/// <summary>

/// 在界面上显示

/// </summary>

/// <param name="returnstr">json内容</param>

public void WriteTo(string returnstr)

{

    try

    {

        ReturnJsonForCard rj = CYQ.Data.Tool.JsonHelper.ToEntity<ReturnJsonForCard>(returnstr);

        AReturnJsonForCard acj = CYQ.Data.Tool.JsonHelper.ToEntity<AReturnJsonForCard>(rj.words_result);

        string resultstr = "";

        resultstr += "姓名："+acj.姓名.words + "\r\n"+ "性别：" + acj.性别.words + "\r\n"+ "民族：" + acj.民族.words + "\r\n"+ "出生：" + acj.出生.words + "\r\n"+ "住址：" + acj.住址.words + "\r\n"+ "公民身份号码：" + acj.公民身份号码.words + "\r\n";

        string card_direction = "";

        if(rj.direction=="-1")

        {

            card_direction = "未定义";

        }

        else if (rj.direction == "0")

        {

            card_direction = "正向";

        }

        else if (rj.direction == "1")

        {

            card_direction = "逆时针90度";

        }

        else if (rj.direction == "2")

        {

            card_direction = "逆时针180度";

        }

        else if (rj.direction == "3")

        {

            card_direction = "逆时针270度";

        }

        resultstr += "图像方向：" + card_direction + "\r\n";

        string card_image_status = "";

        if(rj.image_status=="normal")

        {

            card_image_status = "识别正常";

        }

        else if(rj.image_status == "reversed_side")

        {

            card_image_status = "身份证正反面颠倒";

        }

        else if (rj.image_status == "non_idcard")

        {

            card_image_status = "上传的图片中不包含身份证";

        }

        else if (rj.image_status == "blurred")

        {

            card_image_status = "身份证模糊";

        }

        else if (rj.image_status == "other_type_card")

        {

            card_image_status = "其他类型证照";

        }

        else if (rj.image_status == "over_exposure")

        {

            card_image_status = "身份证关键字段反光或过曝";

        }

        else if (rj.image_status == "unknown")

        {

            card_image_status = "未知状态";

        }

        resultstr += "识别状态：" + card_image_status + "\r\n";

        string card_risk_type = "";

        if (rj.risk_type == "normal")

        {

            card_risk_type = "正常";

        }

        else if(rj.risk_type == "copy")

        {

            card_risk_type = "复印件";

        }

        else if (rj.risk_type == "temporary")

        {

            card_risk_type = "临时身份证";

        }

        else if (rj.risk_type == "screen")

        {

            card_risk_type = "翻拍";

        }

        else if (rj.risk_type == "unknown")

        {

            card_risk_type = "其他未知情况";

        }

        resultstr += "识别身份证类型：" + card_risk_type + "\r\n";

        resultstr += "图片编辑工具：" + rj.edit_tool + "\r\n";

        richTextBox1.Clear();

        richTextBox1.AppendText(resultstr);

    }

    catch (Exception ex)

    {

        MessageBox.Show("解析出错，出错原因：" + ex.Message);

    }

}

4.json字符串的类

using System;

using System.Collections.Generic;

using System.Linq;

using System.Text;

using System.Threading.Tasks;

namespace 百度OCR

{

    public class ReturnJsonForCard

    {

        public string log_id { get; set; }

        public string direction { get; set; }

        public string image_status { get; set; }

        public string risk_type { get; set; }

        public string edit_tool { get; set; }

        public string words_result_num { get; set; }

        public string words_result { get; set; }

    }

    public class AReturnJsonForCard

    {

        public BReturnJsonForCard 住址 { get; set; }

        public BReturnJsonForCard 出生 { get; set; }

        public BReturnJsonForCard 姓名 { get; set; }

        public BReturnJsonForCard 公民身份号码 { get; set; }

        public BReturnJsonForCard 性别 { get; set; }

        public BReturnJsonForCard 民族 { get; set; }

    }

    public class BReturnJsonForCard

    {

        public string location { get; set; }

        public string words { get; set; }

    }

}