UCR is a project name for the development of an handwritten characters in Korean language. The goal is to create a UCR Library for handwriting as well as OCR from off-line, on-line data. And we have a plan to build a UCR library for mobile.
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Note as of 2013-09-13: I'm moving this project over to github due to this:
http://www.gluster.org/2013/08/how-far-the-once-mighty-sourceforge-has-fallen/
Feel free to rejoin the more updated versions on
https://github.com/mnott/PDFOCRWrapper
Thanks.
Matthias
--
This is a wrapper written in Java that allows to recursively iterate a directory structure and call an OCR engine on each found PDF on the condition that it hat not yet been called for that PDF. It works well with...
The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.
Java open source scanner for all platform. This application make the use of JSane. It also includes OCR for Thai and English characters. This project is supported and funded by Thai Life Insurance Company - A Thai Company for the Thai people (http://
Socr3 is a plugin-oriented, open source platform upon which I'm building an OCR suite. The name Socr3 stands for "Open Source Optical Character Recognition, Reading, Rendering, and Exporting", and is subject to change in the future.
Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
OCR c++ library. Include: contour recognition; vectorisation; matrix letter feature recognition; auto page segmentation and detect rotation; SS3 ASM core; XML base; web-based GUI; 99,6% printed Unicode text recognition; letter base up to 1200 letters.
SecureJDMS is the attempt to develop a secure DMS, based on an RCP and (even untrusted) DB for data storage. For now, its all about managing scanned documents and searching them by content (using OCR). All data sent and stored will be strongly encrypted.
An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.
JOcrad is a graphical frontend for GNU/Ocrad written in Java.
GNU Ocrad is an OCR (Optical Character Recognition) program based on a feature extraction method.JOcrad supports italian and english languages, JPG,PNG and GIF images.
The purpose of this program is to take metadata and full text OCR from ContentDM and export into a database for use in other applications. The application is setup to generate a JPG derivative from either a TIF or JP2 associated with an object.
Joshi is a program that tries to recognize shapes on an image with a focus on OCR. It converts the image to vector graphics (polylines) and then tries to project these on stored vector graphics, calculating the best match.
Conjecture is a modular, extensible, open-source C++ framework for Optical Character Recognition (OCR). It is not a single OCR, but rather an extensible collection of OCRs that can be explored, compared, extended and modified within a unified environment
Akshara Malayalam OCR is a project for the development of an OCR for printed and handwritten documents in Malayalam language. The inspiration is from similar OCR softwares in other languages etc.
Classnotes is an OCR intended to translate handwritten scans into text. In order for the program to translate the scans the user must create a handwriting profile by training the OCR with scans.