Title
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.
Year
DOI
Venue
2016
10.1109/ICFHR.2016.0049
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
Keywords
Field
DocType
document image processing,open source,library,toolbox
Linear algebra,Convolution,Computer science,Toolbox,Image processing,Feature extraction,Connected component,Artificial intelligence,Cluster analysis,Recursion,Machine learning
Conference
ISSN
ISBN
Citations 
2167-6445
978-1-5090-0982-4
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Yann Leydier117410.13
Jean Duong241.49
Stéphane Bres312714.42
Véronique Eglin413119.67
Frank Lebourgeois525623.94
Martial Tola600.34