Tesseract+Pillow识别图片初体验

约定不等于承诺〃 2021-11-29 09:00 305阅读 0赞

# 首先要安装pillow和pytesseract #

pip install pillow 
    pip install pytesseract

## 安装Tesseract ##

**tesseract下载地址：**[https://digi.bib.uni-mannheim.de/tesseract/][https_digi.bib.uni-mannheim.de_tesseract]

![70][]

**然后全选一路往下就行……**

### **配置环境** ###

**配置tesseract的安装路径**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70 1][]

![20190721191646328.png][]

**执行命令**

setx TESSDATA_PREFIX G:\tesseract\tessdata

![20190721191913901.png][]

# 测试代码 #

from PIL import Image
    import subprocess
    
    
    def cleanFile(filePath, newFilePath):
        image = Image.open(filePath)
        # 对图片进行阈值过滤，然后保存
        image = image.point(lambda x: 0 if x < 143 else 255)
        image.save(newFilePath)
        # 调用系统的tesseract命令对图片进行OCR识别
        subprocess.call(["tesseract", newFilePath, "output"])
        # 打开文件读取结果
        # 打开文件读取结果
        for line in open("output.txt", 'r', encoding='UTF-8'):
            print(line)
    
    
    
    cleanFile("download/b.jpg", "text_2_clean.png")

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70 2][]

执行！！！！

![20190721192157860.png][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70 3][]

完美再来试试！！！

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70 4][]

![20190721193109369.png][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70 5][]

ok~简单的一个识别图像的Demo完成了！！！！

[https_digi.bib.uni-mannheim.de_tesseract]: https://digi.bib.uni-mannheim.de/tesseract/
[70]: /images/20211129/0fbc77c9ac474fabae7673729649737d.png
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[20190721193109369.png]: /images/20211129/a923b83399f247f39d8b416ac2def2e0.png
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