Search Results for "recognition" - Page 2
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Showing 57 open source projects for "recognition"
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cuneiformplus
Fork of OCR software cuneiform
Fork of OCR software cuneiform Original software see: https://launchpad.net/cuneiform-linux by Cognitive Technologies and Jussi Pakkanen Other Open Source OCR stuff see * Tesseract by Ray Smith (using the Leptonica image library) * GOCR * OCRAD -
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pdfsandwich generates "sandwich" OCR pdf files, i.e. pdf files which contain only images (but no editable text) will be processed by optical character recognition (OCR) and the text will be added to each page invisibly "behind" the images. pdfsandwich is a command line tool which is supposed to be useful to OCR scanned books or journals. It is able to recognize the page layout even for multicolumn text. Essentially, pdfsandwich is a wrapper script which calls the following binaries: convert, unpaper, tesseract, gs, and hocr2pdf (if tesseract < 3.03). ...
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Devanagari OCR
Devanagari Optical Character Recognition, Annotation tool
...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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FormRead
Free OMR - OCR web sofware based on javascript and PHP
https://formread.org FormRead is a completely free OMR (optical mark recognition) web software for scanning and grading user-filled, multiple choice forms. Create your formats with any of your office or drawing tools, scan them and parameterize their coordinates in an easy way. Once you have parameterized your form, you can print many of them, give it to your students/respondents, scan and recognize them with formread, and you can finally export the data in your preferred formats (excel, pdf, csv) -
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OCR Web based
OCR web based for Browser Firefox & PC
...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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cbrTekStraktor
an application to automatically extract text from comic books.
...It is based on the following 3 major algorithms - Binarization of color images (Niblak and other methods) - Connected components - K-Means clustering Apache Tesseract is used to perform Optical Character Recognition on the extracted text. A subsequent version of the application will integrate with translation software in order to provide automated translation of comic book texts and re-inserion of translated texts -
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openalpr
Automatic license plate recognition library
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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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Java OCR is a suite of pure java libraries for image processing and character recognition. Small memory footprint and lack of external dependencies makes it suitable for android development. Provides modular structure for easier deployment
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yagf
YAGF is a tesseract and cuneiform wrapper and helper*
...With YAGF you can open already scanned image files or obtain new images via XSane (scanning results are automatically passed to YAGF). Once you have a scanned image you can prepare it for recognition, select particular image areas for recognition, set the recognition language and so on. Recognized text is displayed in a editor window where it can be corrected, saved to disk or copied to clipboard. YAGF also provides some facilities for a multi-page recognition (see the online help for more details). -
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Sanskrit / Hindi - Tesseract OCR
Devanagari fonts traineddata for Tesseract OCR
...However the Hindi training texts, images and box files are not provided, so it is difficult to improve the accuracy by further improving the traineddata. It is noted that recognition is more accurate and faster if the training is done with the same /similar font as used in the text to be OCRed. See https://sourceforge.net/p/tesseracthindi/wiki/OCR%20for%20Devanagari/ for more details. -
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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. -
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OCR
Character Recognition
Son yıllarda, yazı tanıma konusunda yapılan çalışmalarda büyük ilerleme kaydedilmiş, bu sayede özellikle temiz ve okunabilir bir zemin üzerine basılı yazıları (matbaa ürünü ya da daktilo veya bilgisayarda yazılmış) otomatik olarak tanıyan programlar hayatımız girmeye başlamıştır. Tanıma yüzdesi yüksek olan programlar birçok kurum ve şirkette kullanılıp maliyeti düşürmekte ve hayatı oldukça kolaylaştırmaktadır. Bu çalışmada kullanıcının bir bilgisayar faresi yardımıyla el yazısı ile... -
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Vedvarsha is an application for 2 purposes: 1. Handwariting script recognition that extracts recognized letters into documents. 2. OCR (Optical Character Recogniton) that works only for non-cursive and isolated characters. It depends upon libsyntactic,
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ANPR for National Borders
ANPR for National Borders Systems
The idea is to enhance and develop the national border crossing process by the integration of automated vehicle recognition while crossing country borders. i'm going to use Automatic number plate recognition (ANPR): a system that recognizes the numbers of the vehicle plates by using OCR (optical character recognition) technology and Infrared cameras. This is going to be achieved by taking the license plate image from the camera and processing it using the software I’m going to develop together with an open source OCR system. ... -
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A GUI for OCR programs.
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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.
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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.
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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.
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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.
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TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph
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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.
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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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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
