Tesseract-文字识别工具

//安装tesseract的同时安装训练工具
brew install --with-training-tools tesseract

//安装tesseract的同时安装所有语言，语言包比较大，如果安装的话时间较长，建议不安装，按需选择
brew install  --all-languages tesseract

//安装tesseract，并安装训练工具和语言
brew install --all-languages --with-training-tools tesseract 

//只安装tesseract，不安装训练工具
brew install tesseract

~:Tesseract pengjunzhe$ tesseract help
Usage:
  tesseract --help | --help-psm | --help-oem | --version
  tesseract --list-langs [--tessdata-dir PATH]
  tesseract --print-parameters [options...] [configfile...]
  tesseract imagename|stdin outputbase|stdout [options...] [configfile...]

OCR options:
  --tessdata-dir PATH   Specify the location of tessdata path.
  --user-words PATH     Specify the location of user words file.
  --user-patterns PATH  Specify the location of user patterns file.
  -l LANG[+LANG]        Specify language(s) used for OCR.
  -c VAR=VALUE          Set value for config variables.
                        Multiple -c arguments are allowed.
  --psm NUM             Specify page segmentation mode.
  --oem NUM             Specify OCR Engine mode.
NOTE: These options must occur before any configfile.

Page segmentation modes:
  0    Orientation and script detection (OSD) only.
  1    Automatic page segmentation with OSD.
  2    Automatic page segmentation, but no OSD, or OCR.
  3    Fully automatic page segmentation, but no OSD. (Default)
  4    Assume a single column of text of variable sizes.
  5    Assume a single uniform block of vertically aligned text.
  6    Assume a single uniform block of text.
  7    Treat the image as a single text line.
  8    Treat the image as a single word.
  9    Treat the image as a single word in a circle.
 10    Treat the image as a single character.
 11    Sparse text. Find as much text as possible in no particular order.
 12    Sparse text with OSD.
 13    Raw line. Treat the image as a single text line,
            bypassing hacks that are Tesseract-specific.
OCR Engine modes:
  0    Original Tesseract only.
  1    Cube only.
  2    Tesseract + cube.
  3    Default, based on what is available.

Single options:
  -h, --help            Show this help message.
  --help-psm            Show page segmentation modes.
  --help-oem            Show OCR Engine modes.
  -v, --version         Show version information.
  --list-langs          List available languages for tesseract engine.
  --print-parameters    Print tesseract parameters to stdout.

# 默认使用eng（英文）文字库，imgName是图片地址，result是识别结果
tesseract imgName result

//指定使用简体中文
tesseract -l chi_sim imgName result

//查看本地存在的语言库
tesseract --list-langs

Page segmentation modes:
  0    Orientation and script detection (OSD) only.
  1    Automatic page segmentation with OSD.
  2    Automatic page segmentation, but no OSD, or OCR.
  3    Fully automatic page segmentation, but no OSD. (Default)
  4    Assume a single column of text of variable sizes.
  5    Assume a single uniform block of vertically aligned text.
  6    Assume a single uniform block of text.
  7    Treat the image as a single text line.
  8    Treat the image as a single word.
  9    Treat the image as a single word in a circle.
 10    Treat the image as a single character.

0 - 仅做定位和脚本检测（OSD）
1 - 使用OSD自动分页
2 - 自动分页，但是不使用OSD或者OCR
3 - 全自动分页，没使用OSD
4 - 假定是一列可变大小文本
5 - 假定是一块垂直对齐的文本
6 - 假定是一块统一的格式的文本
7 - 视图像为一行文本
8 - 视图像为一个单词
9 - 使图像为环形排布的单词
10 - 视图像为单个字符

# -*-encoding:utf-8-*-
import pytesseract
from PIL import Image


def main():
    # 打开图片
    image0 = Image.open("./img/0.jpg")
    image1 = Image.open("./img/1.jpg")
    # 使用默认字符集（英文）识别图片
    text0 = pytesseract.image_to_string(image0)
    # 使用默认字符集（中文）识别图片
    text1 = pytesseract.image_to_string(image1, lang='chi_sim')
    # 输出
    print(text0)
    print(text1)


if __name__ == '__main__':
    main()