1.首先安装 Tesseract-OCR (windows )
2.设置环境变量
1)PATH 增加 tesseract 安装目录
2)新增系统变量 TESSDATA_PREFIX='安装目录文件夹下\tessdata'
3.nodejs 调用
安装wraper
npm install node-tesseract
示例:
var tesseract = require('node-tesseract');
// Recognize text of any language in any format
tesseract.process(__dirname+'/test.png',function(err, text) {
if(err) {
console.error(err);
} else {
console.log(text);
}
});
4. 多语言
通过-l 选项,依次增加语言
语法:
tesseract imagename outputbase [-l lang] [-psm pagesegmode] [configfile…]
var options = {
l: 'chi_sim+eng',
psm: 6,
};
tesseract.process(__dirname + '/test.jpg', options, function(err, text) {
if(err) {
console.error(err);
} else {
console.log(text);
}
});
-psm:
Member name | Value | Description |
---|---|---|
PSM_OSD_ONLY | 0 | Orientation and script detection only. |
PSM_AUTO_OSD | 1 | Automatic page segmentation with orientation and script detection. (OSD) |
PSM_AUTO_ONLY | 2 | Automatic page segmentation, but no OSD, or OCR. |
PSM_AUTO | 3 | Fully automatic page segmentation, but no OSD. |
PSM_SINGLE_COLUMN | 4 | Assume a single column of text of variable sizes. |
PSM_SINGLE_BLOCK_VERT_TEXT | 5 | Assume a single uniform block of vertically aligned text. |
PSM_SINGLE_BLOCK | 6 | Assume a single uniform block of text. (Default.) |
PSM_SINGLE_LINE | 7 | Treat the image as a single text line. |
PSM_SINGLE_WORD | 8 | Treat the image as a single word. |
PSM_CIRCLE_WORD | 9 | Treat the image as a single word in a circle. |
PSM_SINGLE_CHAR | 10 | Treat the image as a single character. |
PSM_SPARSE_TEXT | 11 | Find as much text as possible in no particular order. |
PSM_SPARSE_TEXT_OSD | 12 | Sparse text with orientation and script det. |
PSM_RAW_LINE | 13 | Treat the image as a single text line, bypassing hacks that are Tesseract-specific. |
5.配合 GraphicsMagick 识别验证码的例子
6.Localized OCR(识别特定区域)
有时候需要识别特定区域,可以通过UZN 文件配合 -psm 4参数实现
Tesseract can read in uzn files, and use them instead of doing its own segmentation, on two conditions:
- The segmentation mode PSM_SINGLE_COLUMN must be used (Check manpage for details)
- The uzn file must be named imageName.uzn, so for scan01.png the uzn file must be named scan01.uzn
即两个前提:
使用-psm 4参数
uzn 文件与图片文件名称相同
例如,考虑有内容如下的图片test.png:
This is a text
This is another test This is a last test
test.uzn内容:
50 65 100 15 Text
命令行输入:
tesseract.exe test.png test -psm 4
输出结果:
This is another test
7. node-tesseract 增加hocr输出
两种方法:
1) 首先修改安装目录下 \lib\tesseract.js ,第22行处options增加hocr属性
options: {
'l': 'eng',
'psm': 3,
'config': null,
'binary': 'tesseract',
'hocr':null
},
70行增加:
if (options.hocr !== null) {
command.push('hocr');
}
如果想要输出hocr格式,参考:
var options = {
l: 'chi_sim+eng',
psm: 4,
hocr:'hocr'
};
tesseract.process( '/test.png', options, function(err, text) {
if(err) {
console.error(err);
} else {
console.log(text);
}
});
2)参考 链接
好像主文件没更新,需要修改到自己的 tesseract.js 文件中