Open Source Linux OCR Software - Page 5
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OCR Software for Linux
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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.
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Devanagari OCR
Devanagari Optical Character Recognition, Annotation tool
The project has source code and data related to the following tools: 1. Optical Character Recognition. Recognize machine printed Devanagari with or without a dictionary. 2. Document Image Analysis. Automatic page segmentation of document images in multiple Indian languages. Identifies pictures, lines, and words in a document scanned at 300 dpi. 3. Multi-lingual annotation. An interface that has transilteration and a soft-keyboard using which multiple languages can be input. The UI also enables users to view the word and character level ground truth of images. To cite this work, please use: "Devanagari OCR using a recognition driven segmentation framework and stochastic language models", Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju, IJDAR, 2009, Volume: 12, Pg.: 123–138 -
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DictionaryReader
Research OCR Project
DictionaryReader is a research project; the aim of which is to create software that can automatically import data from mixed-script dictionaries. (For example, a Tibetan-English dictionary.) -
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DoAllWithPDF_servicemenu
KDE servicemenu for pdf
allows kde user to make a lot of things whit right click on a pdf file. -
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DrawPad
Pattern recognition tool for image, pdf and handwritings
The tool is an optical recognition tool which runs in following three mode : 1. Drawing Pad : Here the user can draw a character and the tool will recognize which character it is. 2. Image OCR : Image based OCR tool to recognize text and barcodes present in the image. It also supports saving the OCR output. 3. PDF OCR : PDF OCR is the advanced form of OCR, where PDF is parsed into image and OCR is run on that result. At present, PDF OCR comes with low maturity. -
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Forth auf dem Kleincomputer
Source Code for eBook ISBN 978-3-907857-19-9
An dieser Stelle sind die Source Codes zu den Titeln "Forth auf dem Kleincomputer" und "Messen und Steuern mit Forth auf dem Kleincomputer" abgelegt. Der Source Code ist hier teilweise im Fileformat abgelegt, da er aus den alten Quellen durch OCR wieder rekonstruiert wurde. Zur Konvertierung in das Blockformat sind Tools vorhanden. Weitere Beiträge zu Forth sind auf der zugeordneten Webseite als PDF zum Download bereitgestellt. -
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HRCloud2
A full-featured home hosted Cloud Drive, Personal Assistant, App Launc
HRCloud2 - A fully featured home-hosted Cloud drive and personal assistant that allows users to create and manage user accounts for friends and family, access files from anywhere, convert files and archives to other formats, perform simple image resizing and editing, stream media, create playlists, search for files, OCR images and PDF's, share files with friends and more! Building off the observed industry standards for commercial Cloud storage, HRCloud2 protects server permission levels, hashes sensitive data, enforces API security policies, and can even scan itself and it's controlled directories with ClamAV for security. Administrators are even able to download and install the latest updates at the click of a button. Once user account's are created there is no info stored about the user or their activity in the database. For security, all authentication, cache, and log files are internally controlled. -
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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.
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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.
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LWOCR
LightWeight OCR
A lightweight and simple command‑line OCR tool for extracting text from images. Ideal for developers and users who only require basic image to text OCR functionality . Console only application (No GUI) USAGE: C:\Progs>LWOCR Usage: LWOCR.exe <image_path> [text_output] [options] Options: --brightness=X (-1.0 to 1.0, default 0.0) --contrast=X (0.0 to 5.0, default 1.0) --gamma=X (0.1 to 5.0, default 1.0) --digits Only output digits --save-image=path Save processed image Examples: LWOCR.exe image.png # Output to console LWOCR.exe image.png output.txt # Output to file LWOCR.exe image.png --brightness=0.2 # Adjust brightness LWOCR.exe image.png output.txt --save-image=processed.png Support: mrbeepbeepp@gmail.com ` -
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LayoutParser
A Unified Toolkit for Deep Learning Based Document Image Analysis
With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process. A complete instruction for installing the main Layout Parser library and auxiliary components. Learn how to load DL Layout models and use them for layout detection. The full list of layout models currently available in Layout Parser. After several major updates, layoutparser provides various functionalities and deep learning models from different backends. But it still easy to install layoutparser, and we designed the installation method in a way such that you can choose to install only the needed dependencies for your project. LayoutParser is also a open platform that enables the sharing of layout detection models and DIA pipelines among the community. -
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Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).
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Linux for Beagleboard-xm
A Tailored Small Linux for Beagleboard-xm
Beagleboard-xm is a powerful chip with a cortex-A8 CPU and a DSP. I have the plan to build an OCR gadget using it with Linux. As a by product I will post my tailored Linux kernel and u-boot, and all relevant stuff here, from now on. I was shocked by the blocking of Chinese citizens from accessing some of the contents on sourceforge. I deeply regret the outrageous action initiated, even though I fully understand the reasoning behind it. -
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Lords Mobile Player Statistics
Compare yourself with others by analyzing Lords Mobile Screenshots
Lords Mobile Player Statistics (or short Lords Mobile Stats) is a Windows application that allows you to parse Lords Mobile Screenshots to extract player statistics of yourself and other players. After extracting the data you can compare players and view the data as a large sortable table. You can also export the results as text file or render the table as an image (for sharing with your guild for example). This project is still in a early development stage, please read the Wiki (see menu above) for details about what is working and what is not. There are still many features on the todo list for future release. Please consider to support the project by making a donation to the project by clicking the Donation link in the menu! -
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Merge PDF Files
It is a Windows library that merges standard PDFs into a final PDF
The library is intended for developers, for inclusion in desktop applications or server services. There are lots of SDKs on the market creating (merging) PDFs (almost all of them have limitations). Our Windows library (MergePDFByNMI.dll) only merges standard PDF files (there are several PDF formats). You can send the input PDFs (by file name or by byte array) and you can have the final PDF (saved on a file or get back on a byte array). The library calls can be synchronous or asynchronous. We want to give you a benchmark, the library was used to create a PDF from single page(scanned) image by an OCR SDK (it is not included in our library, you can use any on the market): 20,000 Images (the OCR SDK creates single page PDF text searchable, running 50 threads) in 80 minutes. The size of the final PDF searchable was 800Mb. If you download the library, we provide a sample which cover all the scenarios possible (synchronous and asynchronous). -
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This application can be used to read printed text in english. Scan the text to produce image file. Image file is processed using the OCR engine, which converts it to txt file. Text file can be read using screen reader softwares such as ORCA.
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OCR Web based
OCR web based for Browser Firefox & PC
Optical Character Recognition in JS for Browser is based on ocrad.js. OCR for Browser is a free extension and You can use this application to extract text from any image you supply. Just upload your image files. OCR for Browser takes either a JPG, GIF, TIFF, BMP, PNG. ========= Get OCR for Android (Beta release) - https://play.google.com/store/apps/details?id=com.ulm.ocr ========= Add-on for Opera: http://bit.ly/1F0E0wP ========= Release 1.0.1 For safety reasons, I disabled the possibility to import an image from url. Finally, I wish to inform you that you can write or draw directly on the canvas to get the subsequent character recognition and text extraction -
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An optical character recognition filter for use with postifix or sendmail as a milter. The filter focuses on only processing images that it absolutely has to, this is to conserve computing power and not allow the spammer to use to many resources. Feature
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This paper represent a development and deployment and/or Implementation of Optical Character Recognition (OCR) to translate images of typewritten or handwritten characters into electronically editable format by preserving font properties. OCR can do this by applying pattern matching algorithm. The Recognized characters are stored in editable format. Thus OCR make the computer read the printed documents discarding noise. Keywords- Optical Character Recognition, Image convert to character, Image cropping.
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