C# paddlerocrsharp识别身份证号
https://gitee.com/raoyutian/paddle-ocrsharp
项目搭建
新建控制台项目
安装paddleocrsharp
下载训练好的模型
解压放到对应的文件夹中,都修改为如果较新则复制
编写代码OCRHelper.cs
using PaddleOCRSharp;
namespace OCRTest02;
public class OCRHelper
{
/// <summary>
/// 初始化OCR引擎
/// </summary>
/// <returns></returns>
public static PaddleOCREngine initOcrEngine(string exePath)
{
//OCR参数
OCRParameter oCRParameter = new OCRParameter();
oCRParameter.cpu_math_library_num_threads = 6;//预测并发线程数,CPU预测时的线程数,在机器核数充足的情况下,该值越大,预测速度越快;默认10
oCRParameter.enable_mkldnn = true;//web部署该值建议设置为0,否则出错,内存如果使用很大,建议该值也设置为0.
oCRParameter.cls = true; //是否执行文字方向分类;默认false
oCRParameter.use_angle_cls = true;//是否开启方向检测,用于检测识别180旋转
oCRParameter.det_db_score_mode = false;//是否使用多段线,即文字区域是用多段线还是用矩形,
oCRParameter.det_db_unclip_ratio = 1.6f;
//OCR配置
OCRModelConfig config = new OCRModelConfig();
string modelPathroot = Path.Join(exePath,"ch_PP-OCRv4");
config.det_infer = modelPathroot + @"\ch_PP-OCRv4_det_infer";
config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
config.rec_infer = modelPathroot + @"\ch_PP-OCRv4_rec_infer";
config.keys = modelPathroot + @"\ppocr_keys.txt";
//初始化OCR引擎
return new PaddleOCREngine(config, oCRParameter);
}
}
Program.cs
using OCRTest02;
var exePath = AppDomain.CurrentDomain.BaseDirectory;
var engine = OCRHelper.initOcrEngine(exePath);
Console.WriteLine("初始化成功");
var filePath = "F:\\Desktop\\韦小宝.png";
var imagebyte = File.ReadAllBytes(filePath);
var ocrRes = engine.DetectText(imagebyte);
foreach (var textBlock in ocrRes.TextBlocks)
{
Console.Write(string.Join(";",textBlock.BoxPoints));
Console.Write("\t"+textBlock.Text);
Console.Write("\t"+textBlock.Score+"\n");
}
识别结果的精度还是比较高的但是目前数据比较乱,需要找到身份证号和姓名,下面代码可以识别横着、竖着的身份证信息并且提取出来,斜这的就不太行了,需要做图像校正,可以尝试一下https://github.com/shakex/card-rectification
using System.Text.RegularExpressions;
using OCRTest02;
using SixLabors.ImageSharp;
using SixLabors.ImageSharp.Drawing.Processing;
using SixLabors.ImageSharp.Processing;
var exePath = AppDomain.CurrentDomain.BaseDirectory;
var engine = OCRHelper.initOcrEngine(exePath);
Console.WriteLine("初始化成功");
var filePath = "F:\\Desktop\\韦小宝.jpg";
var imagebyte = File.ReadAllBytes(filePath);
var ocrRes = engine.DetectText(imagebyte);
string name = "";
string id = "";
var sfzImg = Image.Load(filePath);
foreach (var textBlock in ocrRes.TextBlocks)
{
//Console.WriteLine(textBlock.Text);
#region 绘制包围矩形
List<PointF> points = new List<PointF>();
foreach (var point in textBlock.BoxPoints)
{
points.Add(new PointF(point.X,point.Y));
}
sfzImg.Mutate(x=>x.DrawPolygon(new SolidPen(Color.HotPink,2.0f),points.ToArray()));
#endregion
if (string.IsNullOrWhiteSpace(textBlock.Text))
{
continue;
}
var tmpText = textBlock.Text.Trim();
if (tmpText.Contains("姓名"))
{
tmpText = tmpText.Replace("姓名", "");
name = tmpText;
}
var idMatch = new Regex(@"^[1-9]\d{5}(18|19|([23]\d))\d{2}((0[1-9])|(10|11|12))(([0-2][1-9])|10|20|30|31)\d{3}[0-9Xx]$");
if (idMatch.IsMatch(tmpText))
{
id = tmpText;
}
}
Console.WriteLine($"姓名:{name},身份证号:{id}");
var now = DateTime.Now;
var resultName = now.ToString("yyyy_MM_dd_HH_mm_ss");
sfzImg.Save($"{resultName}.jpg");
Console.WriteLine("保存成功");
原文地址:https://blog.csdn.net/qq_36437991/article/details/136296974
免责声明:本站文章内容转载自网络资源,如本站内容侵犯了原著者的合法权益,可联系本站删除。更多内容请关注自学内容网(zxcms.com)!