求易语言调用tesseract-OCR例子

Posted 2023-03-21

参考技术A 这里可以参照cxf7394373的 字符识别Google开源Tesseract-ocr的DLL调用方法
使用其API的一种模式大致是这样：先包含头文件，连接库；然后再定义一个api类，配置好参数之后提取识别结果

#include "strngs.h"
#include "baseapi.h"
#pragma comment(lib,"libtesseract302d.lib")

////////////////
tesseract::TessBaseAPI api;
api.Init(NULL, "eng", tesseract::OEM_DEFAULT); //初始化，设置语言包，中文简体：chi_sim;英文：eng；也可以自己训练语言包
//api.SetVariable( "tessedit_char_whitelist", "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz" );

STRING text_out;
if (!api.ProcessPages("kaze.tif", NULL, 0, &text_out))

//AfxMessageBox("tesseract 处理出现异常");
return 0;

cout<<text_out.string();
cout<<UTF8ToGBK(text_out.string()).c_str();追问

感谢回答，不过我需要的是易语言调用AIP

Python调用Tesseract-OCR和Zxing完成图片OCR识别和二维码解码

 

先贴代码：

# 1.Install tesseract-ocr*.exe from http://jaist.dl.sourceforge.net/project/tesseract-ocr-alt/tesseract-ocr-setup-3.02.02.exe
# 2.Install pillow as"pip install form *.whl"
# 3.Install pytesseract as"pip install form *.whl"
import os.path
import pytesseract
from PIL import Image
from jpype import *

##################################################### Tesserace-ocr ####################################################
#image = Image.open(r"D:\Project\AI\1.MachineLearning\A.Tensorflow\2.Python_Prj\FirstPython\processed_7039.png")
image = Image.open(r"D:\Project\AI\1.MachineLearning\A.Tensorflow\2.Python_Prj\FirstPython\OCR2.png")
code = pytesseract.image_to_string(image)
code = code.replace(‘ ‘, ‘‘);
code = code.replace(‘-‘, ‘‘);
code = code.replace(‘\r‘, ‘‘);
code = code.replace(‘\n‘, ‘‘);
print(code)

##################################################### Zxing Decode #####################################################
# Start jvm
jarpath = os.path.join(os.path.abspath(‘.‘), ‘D:/Project/AI/1.MachineLearning/A.Tensorflow/2.Python_Prj/FirstPython/‘)
startJVM("C:/Program Files/Java/jre6/bin/server/jvm.dll", "-ea", ("-Djava.class.path=%s" % (jarpath + "javase-2.2.jar" + ";" + jarpath + "core-2.2.jar")))
# Load the useful library classes
File = JClass("java.io.File")
BufferedImage = JClass("java.awt.image.BufferedImage")
ImageIO = JClass("javax.imageio.ImageIO")
BinaryBitmap = JClass("com.google.zxing.BinaryBitmap")
DecodeHintType = JClass("com.google.zxing.DecodeHintType")
LuminanceSource = JClass("com.google.zxing.LuminanceSource")
BufferedImageLuminanceSource = JClass("com.google.zxing.client.j2se.BufferedImageLuminanceSource")
MultiFormatReader = JClass("com.google.zxing.MultiFormatReader")
NotFoundException = JClass("com.google.zxing.NotFoundException")
Result = JClass("com.google.zxing.Result")
HybridBinarizer = JClass("com.google.zxing.common.HybridBinarizer")
Hashtable = JClass("java.util.Hashtable")
# Do the qrcode decode
image = ImageIO.read(File("D:/Project/AI/1.MachineLearning/A.Tensorflow/2.Python_Prj/FirstPython/Qrcode1.jpg"))
source = BufferedImageLuminanceSource(image)
bitmap = BinaryBitmap(HybridBinarizer(source))
hints = Hashtable()
hints.put(DecodeHintType.CHARACTER_SET, "GBK")
result = MultiFormatReader().decode(bitmap, hints)
print(result)
# Shutdown JVM
shutdownJVM()