我从哪里开始进行文本模式识别 - 基于 Java
我正在认真考虑做一个光学字符识别程序。我精通 Java，并且很想了解可用的库。基本上，我想将如下内容转换为文本。我需要手动中断来指定模式。例如，我需要要求用户在本文中标记 f，以便我知道 f 出现在哪里。
我完全是新手，所以我也不介意从头开始学习。需要指导。
I am seriously considering doing a Optical Character Recognition program. I am well versed with Java and would love to know about libraries available out there. Basically, I want to convert something like the following to text. I will need to give manual interruption to specify a pattern. For example, I would need to ask user to mark f in this text, so that I know where f occurs.
I am a newbie to this entirely, so I dont mind learning from scratch as well. Need guidance.
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如果您正在考虑从头开始编写 OCR 程序，那么阅读相关技术可能会有所帮助。我找到了 1996 年的 OCR 调查回顾了十五年前的一些流行技术。阅读可能会有所帮助；追踪它引用的论文或引用它的论文。
通常过程如下：
虽然让用户对文本进行注释既有趣又令人兴奋，但找到已注释的手写集合可能会节省您大量时间，这样您就可以专注于进行 OCR 的具体细节，而不是而不是建立自己的注释文本数据库。
要从稍微简单的任务开始，您可能需要考虑构建一个系统来检测手写数字。 USPS 制作了一个语料库，用于开发系统来进行邮政编码处理。该链接是我通过快速搜索找到的。
If you are thinking of coding an OCR program from scratch, reading up on techniques may be useful. I found an OCR Survey from 1996 which reviews some of the popular techniques from a decade and a half ago. Reading that might be helpful; track down papers it cites or papers which cite it.
Usually the process goes as follows:
While getting a user to annotate text is fun and exciting, finding a collection of handwriting which is already annotated might save you a lot of time, that way you can focus on the nuts and bolts of doing OCR rather than building your own database of annotated text.
To start with a slightly easier task you might want to consider building a system to detect handwritten digits. The USPS produced a corpus for developing systems to do this for zip code processing. The link was something I found with a quick search.
如果您想使用/查看某个库，可以尝试 Google 认可的 Tesseract。
If you want to use/look at a library, you could try the Google-endorsed Tesseract.