What are the best open source OCR libraries?
Tesseract seems pretty goodn s s n Tesseract is probably the most accurate open source OCR engine available. Combined with the Leptonica Image Processing Library it can read a wide variety of image formats and convert them to in over 6 languages. It was one of the top 3 engines in the 1995 UNLV Accuracy test. Between 1995 and 26 it had little work done on it but since then it has been improved extensively by Google. It is released under the Apache License 2..
What's the best free Java OCR library?
As I know Yunmai Technology OCR library may be a good choice for you. Yunmai Technology is also a professional developer of (Optical Character Recognition) OCR software. It has been one of the best mobile OCR technology and application developers in the industry. Docs Matter a document mobile scanner developed by Yunmai Technology is really nice. And it is free.
Is there's any pure Java ocr library and free?
Yes I have heard about Java Tesseract library. This offers some help. Using Tesseract from java
Can I get a library in Java for OCR Arabic conversion?
You can use Open Source Tesseract s OCR library. For java they have Java JNA wrapper for Tesseract OCR API named tess4J . For Arabic put the s file into tessdata folder. In the API set language as ara . That all you need to do but it can give good results only when the input image is grayscaled and cleared of any noise or unnecessary stuffs in it which you can do using OPENCV Image processing library.
Which is the best Android OCR library?
There are many OCR libraries available for integration with Android - Tesseract is very widely used. From my experience extraction on OCR is generally not that great. So what you should do is - do a basic extraction test on the Android to make sure the image is taken properly does not have a shake etc and then send it to a server side library for deeper extraction and pre-processing. The trickier part is what to do after OCR engine gives you the . Text extraction is way moreplicated than vanilla OCR. For extraction you need to worry about two more things Extraction Rules OCR softwares usually dump the in your document into a free form field. This works great if you are scanning a page from a book or a doc. But in case you need to separate the line items from the document then you also need to apply lot of rules around it. That can take a lot more time than integrating the OCR engine For business apps there are situations where the OCR engine is pretty confident of the extracted data but the does not add up in the con of all the other data around it. This is where classic OCR engines fails. A lot ofpanies have been able to get around this problem by building strong algorithms based on machine learning which can plug the gap in the OCR engine's readability.
Does anyone have an algorithm for image processing implemented in Java?
Google says they do Java OCR
What libraries exist for text recognition in Java?
Here are some more libraries for processing in Java n JWebPro A Java-based Web Processing Toolkit Same as JWeb there is JText nJTextPro A Java-based Text Processing Toolkit JTextPro A Java-based Text Processing Toolkit Another library which uses LDA for topic extraction from is JGibbLDA n A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference # There is also mallet java library forma mining and nlp. You can find it here
What are some open source artificial intelligence libraries that can read a car tag from a video/picture?
In general you'll need some kind of OCR (Optical Character Recognition) Library or some Image Processing library. The difficulty of implementing this would depend on the plane whether there's a color consistency of the numbers versus the background etc etc.) Off the top of my head I would say check out OpenCV. There isn't an inbuilt function which does what you're looking for but you can attempt making templates and matching it. Or try the Java OCR libraries. So if I get to listing OpenCV This is what I have used and its really powerful as an IP library provided you have an annoying doggedness in getting over the mildly steep learning curve. Check But since no list isplete until it looks like some work has been put into it I'm going to list some libraries that I have personally not used but may be of help to you. Note a lot of OCR libraries are aimed at reading scanned document An OMR library for variety Now in case you actually had the patience to read till here I'll give this gift wrapped An open source license plate recognition project And another I would advise some reading on the IP behind this. Plenty of research papers deal with it. Once the license plate has been identified then pulling the numbers shouldn't be a problem.