介绍
该库用于识别并获取图片上的文字，支持多种语言。对英文识别度非常高，但是对中文的识别度非常一般。需要单独训练对应的中文库。对白纸黑字的合同文识别度还不错，其他的都不太好。
git地址：
https://github.com/naptha/tesseract.js
下面通过6个小例子来看下用法。使用的时候需要开个服务，在vscode上打开Go Live就行。
示例一
demo1.png
demo1.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<style>
p {
width: 300px;
}
</style>
</head>
<body>
<!-- 识别纯英文文字的图片 ok -->
<p id="log"></p>
<!-- v4 -->
<script src='https://unpkg.com/tesseract.js@4.0.2/dist/tesseract.min.js'></script>
<script>
Tesseract.recognize(
'./images/demo1.png', // 被识别的图片
'eng', // 识别图片中文字用到的语言
{ logger: m => console.log(m) }
).then(({ data: { text } }) => {
document.getElementById('log').innerHTML = text;
})
</script>
</body>
</html>
识别结果：
示例二
demo2.png
```demo2.html`
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
</head>
<body>
<!-- 识别一个纯英文截图 ok -->
<p id="log"></p>
<!-- v4 -->
<script src='https://unpkg.com/tesseract.js@4.0.2/dist/tesseract.min.js'></script>
<script>
const { createWorker } = Tesseract;
async function demo2() {
const worker = await createWorker({
logger: m => console.log(m)
});
work();
async function work() {
await worker.loadLanguage('eng'); // 下载语言包
await worker.initialize('eng'); // 使用的语言
const { data: { text } } = await worker.recognize('./images/demo2.png');
document.getElementById('log').innerHTML = text;
await worker.terminate();
}
}
demo2();
</script>
</body>
</html>
识别结果：
示例三
demo3.png
demo3.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
</head>
<body>
<!-- 识别一张打印版中文合同图片 ok -->
<!-- 该图片的截图也ok -->
<!-- v4 -->
<script src='https://unpkg.com/tesseract.js@4.0.2/dist/tesseract.min.js'></script>
<script>
const { createWorker } = Tesseract;
async function demo2() {
const worker = await createWorker({
logger: m => console.log(m)
});
work();
async function work() {
await worker.loadLanguage('chi_sim'); // 下载简体中文语言包
await worker.initialize('chi_sim'); // 使用简体中文
const { data: { text } } = await worker.recognize('./images/demo3.png');
console.log(text);
await worker.terminate();
}
}
demo2();
</script>
</body>
</html>
识别结果：
很棒，识别出来了。
示例四
demo4.png
自己写一串文字，然后截图，识别一下试试。demo.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
</head>
<body>
<!-- 浏览器字体 no -->
<p id="log"></p>
<!-- v4 -->
<script src='https://unpkg.com/tesseract.js@4.0.2/dist/tesseract.min.js'></script>
<script>
const { createWorker } = Tesseract;
async function demo2() {
const worker = await createWorker({
logger: m => console.log(m)
});
work();
async function work() {
await worker.loadLanguage('chi_sim');
await worker.initialize('chi_sim');
const { data: { text } } = await worker.recognize('./images/demo4.png');
console.log(text);
document.getElementById('log').innerHTML = text;
await worker.terminate();
}
}
demo2();
</script>
</body>
</html>
识别结果：
很拉跨，基本没识别出来。。。
示例五
demo5.png
试试识别身份证，这么大的字，这么清晰的像素demo5.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
</head>
<body>
<p id="log"></p>
<!-- v4 -->
<script src='https://unpkg.com/tesseract.js@4.0.2/dist/tesseract.min.js'></script>
<script>
const { createWorker } = Tesseract;
async function demo2() {
const worker = await createWorker({
logger: m => console.log(m)
});
work();
async function work() {
await worker.loadLanguage('chi_sim');
await worker.initialize('chi_sim');
const { data: { text } } = await worker.recognize('./images/demo5.png');
document.getElementById('log').innerHTML = text;
await worker.terminate();
}
}
demo2();
</script>
</body>
</html>
识别结果：
识别出来了，但是会受到其他因素的干扰。
示例六
demo6.png
识别几个艺术字试试demo6.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
</head>
<body>
<p id="log"></p>
<!-- v4 -->
<script src='https://unpkg.com/tesseract.js@4.0.2/dist/tesseract.min.js'></script>
<script>
const { createWorker } = Tesseract;
async function demo2() {
const worker = await createWorker({
logger: m => console.log(m)
});
work();
async function work() {
await worker.loadLanguage('chi_sim');
await worker.initialize('chi_sim');
const { data: { text } } = await worker.recognize('./images/demo6.png');
document.getElementById('log').innerHTML = text;
await worker.terminate();
}
}
demo2();
</script>
</body>
</html>
识别结果：
哎哟，不错哦，就是不那么完美，英文字母的拼写有一丢丢小问题。文章来源：https://www.toymoban.com/news/detail-420607.html
实际开发中需要对使用过程进行优化，以及字库的训练。或者使用阿里或百度提供的付费版服务。文章来源地址https://www.toymoban.com/news/detail-420607.html
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