Iibcrn, an Open-Source Document Image Processing Library

被引:0
作者
Leydier, Yann [1 ]
Duong, Jean [1 ]
Bres, Stephane [2 ]
Eglin, Veronique [2 ]
Lebourgeois, Frank [2 ]
Tola, Martial [2 ]
机构
[1] CoReNum, F-69006 Lyon, France
[2] Univ Lyon, CNRS, INSA Lyon, LIRIS,UMR5205, F-69621 Villeurbanne, France
来源
PROCEEDINGS OF 2016 15TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR) | 2016年
关键词
document image processing; open source; library; toolbox;
D O I
10.1109/ICFHR.2016.45
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:211 / 215
页数:5
相关论文
共 17 条
[1]  
[Anonymous], 2009, P 18 ACM C INF KNOWL
[2]  
[Anonymous], 2008, 2008 19 INT C PATT R
[3]   A NOTE ON THE GRADIENT OF A MULTIIMAGE [J].
DIZENZO, S .
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1986, 33 (01) :116-125
[4]   Clustering by passing messages between data points [J].
Frey, Brendan J. ;
Dueck, Delbert .
SCIENCE, 2007, 315 (5814) :972-976
[5]   Fast connected-component labeling [J].
He, Lifeng ;
Chao, Yuyan ;
Suzuki, Kenji ;
Wu, Kesheng .
PATTERN RECOGNITION, 2009, 42 (09) :1977-1987
[6]  
Le Bourgeois F, 2000, INT C PATT RECOG, P1027, DOI 10.1109/ICPR.2000.905646
[7]  
Meila M., 2001, P INT WORKSH ART INT, P203
[8]  
Nelson E., 1967, Tensor Analysis
[9]  
Ng AY, 2002, ADV NEUR IN, V14, P849
[10]   THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS [J].
OTSU, N .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1979, 9 (01) :62-66