Aspose.OCR for .NET是一款字符識別組件，它使得開發(fā)人員可以添加OCR功能到他們的ASP.NET Web應(yīng)用程序、web服務(wù)和windows應(yīng)用程序中。它提供了一個簡單的類集用于控制字符識別。

Aspose.OCR for .NET迎來2020年v20.6最新版更新，添加了對使用流的API支持，添加了指定字符以進(jìn)行識別的功能，改善了識別質(zhì)量。（點擊下方按鈕即可下載）

下載Aspose.OCR最新版

增強功能

• API不需要被處理。
• 識別質(zhì)量得到改善。
• 添加了對使用流的API支持。
• 添加了對識別區(qū)域使用的API支持。
• 添加了指定字符以進(jìn)行識別的功能。
• 添加了計算圖像偏斜的功能。
• 添加用于文本區(qū)域檢測的標(biāo)志。
• 歪斜校正的可選標(biāo)志。

支持的字符

公共API

使用范例

using System;
using System.Collections.Generic;
using System.Drawing;
using System.IO;
using Aspose.OCR;
 
namespace ProgramOCR
{
    class Program
    {
        static void Main(string[] args)
        {
            // Get API
            AsposeOcr api = new AsposeOcr();
 
            // Create license
            License lic = new License();
 
            // Set license 
            lic.SetLicense("Aspose.Total.lic");
 
            // Get image for recognize
            string imgPath = "test_ocr.png";
 
            /* Recognize image from file*/
 
            // Recognize image
            string result = api.RecognizeImage(imgPath);
 
            // Print result
            Console.WriteLine(result);
 
            /* Recognize image from stream*/
 
            using (MemoryStream ms = new MemoryStream())
            using (FileStream file = new FileStream(imgPath, FileMode.Open, FileAccess.Read))
            {
                file.CopyTo(ms);
                result = api.RecognizeImage(ms);
            }
            Console.WriteLine(result);
 
            /*Recognize image from file without detected texts areas and remove skew 
            (all image is a text area) */
 
            result = api.RecognizeImage(imgPath, false);
            Console.WriteLine(result);
 
            /*Recognize image from file with detected texts areas and without
            remove skew text*/
 
            result = api.RecognizeImage(imgPath, true, false);
            Console.WriteLine(result);
 
            /* Recognize image in the specified rectangles */
 
            List<Rectangle> rects = new List<Rectangle>()
            {
                new Rectangle(138, 352, 2033, 537),
                new Rectangle(147, 890, 2033, 1157),
                new Rectangle(923, 2045, 465, 102),
                new Rectangle(104, 2147, 2076, 819)
            };
 
            List<string> listResult = api.RecognizeImage(imgPath, rects);
 
            foreach (string s in listResult)
            {
                Console.WriteLine(s);
            }
 
            /* Recognize image in the specified rectangle */
 
            result = api.RecognizeImage(imgPath, rects[0]);
            Console.WriteLine(result);
 
            /* With allowed symbols*/
 
            // Create api instance with allowed symbols.
            api = new AsposeOcr("0123456789");
 
            // Get image line for recognize
            imgPath = "0002240177.Jpeg";
 
            // Recognize line
            result = api.RecognizeLine(imgPath);
 
            Console.WriteLine(result);
 
            /* Calculate skew image from stream */
 
            imgPath = "skew_image.png";
            float angle = 0;
 
            using (MemoryStream ms = new MemoryStream())
            using (FileStream file = new FileStream(imgPath, FileMode.Open, FileAccess.Read))
            {
                file.CopyTo(ms);
                angle = api.CalculateSkew(ms);
            }
            Console.WriteLine(angle);
 
            /* Calculate skew image from path to image */
 
            angle = api.CalculateSkew(imgPath);
            Console.WriteLine(angle);
        }
    }
}