问题描述
我正在考虑创建某个Web系统.它涉及到许多不同的(随机)人上载他们所写内容的扫描文档.
I am thinking of creating a certain web system. It involves a lot of different (random) people uploading scanned documents of stuff they wrote.
是否有任何PHP开源方式将这些手写文本转换为机器文本?
Is there any PHP open source way converting these handwritten texts to machine text?
我发现了这个问题,但想知道它是否有能力认识很多随机和不同的人的作品?
I found this question but would like to know if it is capable of recognizing a lot of random & different people's writing?
有人有经验可以分享这个领域吗?
Do anyone have experience to share of this field?
推荐答案
在SO上查看相关问题:通过简单的培训即可识别笔迹
See related question on SO: handwriting recognition with simple training
基于图像的笔迹识别也称为离线笔迹识别.
Image-based handwriting recognition is also known as Off-line handwriting recognition.
如果手写字符始终为大写字母,邮局风格,可以通过基于图像的智能字符识别(ICR)进行处理.
If the handwritten characters are always capital-letter, post-office style, it can be handled by Intelligent Character Recognition (ICR), which is image-based.
离线(基于图像)识别和在线(实时)识别之间的区别在于,后者需要您记录每个笔画的时间戳(位置和速度).
The difference between off-line (image-based) and on-line (real-time) recognition is that the latter requires you to record the timestamp (position and velocity) of each stroke as it is being written.
基于图像的识别引擎可以通过将带有时间戳的笔划转换为图像来处理在线数据.相反,在线识别引擎 无法处理基于图像的输入.因此,在线识别在技术上更容易,并且可以使用开源项目.
An image-based recognition engine can handle on-line data by converting the timestamped strokes into an image. To the contrary, an on-line recognition engine cannot handle image-based inputs. As such, on-line recognition is technically easier and open-source projects are available.
几篇维基百科文章都包含OCR/ICR软件提供商的列表:
Several Wikipedia articles contain lists of OCR/ICR software providers:
- http://en.wikipedia.org/wiki/List_of_optical_character_recognition_software
- http://en.wikipedia.org/wiki/Intelligent_character_recognition
- http://en.wikipedia.org/wiki/List_of_optical_character_recognition_software
- http://en.wikipedia.org/wiki/Intelligent_character_recognition
在线手写识别引擎(开放源代码)的示例:
An example of on-line handwriting recognition engine (open-source):
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