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https://doi.org/10.1109/icfhr....
Article . 2016 . Peer-reviewed
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libcrn, an Open-Source Document Image Processing Library

Authors: Yann Leydier; Jean Duong; Stéphane Bres; Véronique Eglin; Frank Lebourgeois; Martial Tola;

libcrn, an Open-Source Document Image Processing Library

Abstract

In this paper we introduce libcrn, a multiplatform open-source document image processing library aimed at researchers and companies. It is written in C++11 and has a non-contaminating license that makes it available for use in any project without legal constraints. The features include low-level image processing (color format conversion, binarization, convolution, PDE…), document images specific tools (connected components extraction, recursive block description, PDF export…), maths (matrix arithmetics, linear algebra, GMMs, equation solvers…), classification and clustering (kNN, k-means, HMMs…). The API is comprehensively documented and libcrn's architecture follows modern C++ guidelines to facilitate the handling of the library and enforce its safe usage. A sample OCR, which is only 30 lines long, is described to illustrate libcrn's scope of possibilities.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green