Search Results for "java image processing library"
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Showing 6 open source projects for "java image processing library"
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Common Resource Grep - crgrep
Common Resource Grep
CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you... -
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cbrTekStraktor
an application to automatically extract text from comic books.
cbrTekStraktor is an application to automatically extract text from the text bubbles or speech balloons present in comic book reader files (CBR). Its prime goal is to perform analysis on the texts of comic books. cbrTekStraktor can however also be used for scanlation or similar purposes. The application also enables to manually define text areas in CBR files. The application comprises a simple graphical editor for further processing the extracted text. The text extraction is... -
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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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Vision2u
free image processing software
Vision2u offers a free image processing software for personal use and research. Primary tasks of the image processing can be realized during simple operation of the software. Every Web cam owner can have simplest measuring, counting or tasks of monitoring done without high capital outlays. -
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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.
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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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