25.4.2.4 Language Recognition, Multi-Language Documents

Chapter Contents (Back)
Language Recognition. Multi-Language.

Spitz, A.L.[A. Lawrence],
Determination of the Script and Language Content of Document Images,
PAMI(19), No. 3, March 1997, pp. 235-245.
IEEE DOI 9704
BibRef
Earlier:
Script and Language Determination from Document Images,
SDAIR94(229-235). Determine the language and script type before recognition. First, broad classes (Han-Based and Latin-Based) using spatial relationships. Then optical density of Han-Based and character shape codes for Latin-Based languages. BibRef

Spitz, A.L.[A. Lawrence],
Method and apparatus for automatic language determination of Asian language documents,
US_Patent5,425,110, June 13, 1995.
WWW Link. BibRef 9506

Nakayama, T., Spitz, A.L.[A. Lawrence],
European Language Determination from Image,
ICDAR93(159-162). BibRef 9300

Spitz, A.L.[A. Lawrence],
Script Determination in Document Images,
SPIE(2422), 1995, pp. 293-301. BibRef 9500

Spitz, A.L.[A. Lawrence],
Text Line Characterization by Connected Component Transformations,
SPIE(2181), 1994, pp. 97-105. BibRef 9400

Spitz, A.L.[A. Lawrence],
Analysis of Compressed Document Images for Dominant Skew, Multiple Skew, and Logotype Detection,
CVIU(70), No. 3, June 1998, pp. 321-334.
DOI Link Logo Recognition. BibRef 9806

Spitz, A.L.[A. Lawrence],
Logotype Detection in Compressed Images Using Alignment Signatures,
SDAIR96(XX) Daimler Benz Research and Technology Center. BibRef 9600

Chi, S.Y.[Su Young], Oh, W.G.[Weon Geun], Moon, K.A.[Kyung Ae], Hwang, Y.S.[Young Sup], Jang, D.G.[Dae Geun],
Method for recognizing multi-language printed documents using strokes and non-strokes of characters,
US_Patent6,665,437, Dec 16, 2003
WWW Link. BibRef 0312

Xafopoulos, A., Kotropoulos, C., Almpanidis, G., Pitas, I.,
Language identification in web documents using discrete HMMs,
PR(37), No. 3, March 2004, pp. 583-594.
Elsevier DOI 0401
BibRef

Lu, S.J.[Shi-Jian], Tan, C.L.[Chew Lim],
Script and Language Identification in Noisy and Degraded Document Images,
PAMI(30), No. 1, January 2008, pp. 14-24.
IEEE DOI 0711
BibRef

Lu, S.J.[Shi-Jian], Tan, C.L.[Chew Lim], Huang, W.H.[Wei-Hua],
Language Identification in Degraded and Distorted Document Images,
DAS06(232-242).
Springer DOI 0602
BibRef

Zhou, L.J.[Li-Jun], Lu, Y.[Yue], Tan, C.L.[Chew Lim],
Bangla/English Script Identification Based on Analysis of Connected Component Profiles,
DAS06(243-254).
Springer DOI 0602
BibRef

Pati, P.B.[Peeta Basa], Ramakrishnan, A.G.,
HVS Inspired System for Script Identification in Indian Multi-script Documents,
DAS06(380-389).
Springer DOI 0602
BibRef

Liu, Y.H.[Ying-Ho], Lin, C.C.[Chin-Chin], Chang, F.[Fu],
Language identification of character images using machine learning techniques,
ICDAR05(II: 630-634).
IEEE DOI 0508
BibRef


Huang, J.[Jing], Liang, K.J.[Kevin J.], Kovvuri, R.[Rama], Hassner, T.[Tal],
Task Grouping for Multilingual Text Recognition,
TextEvery22(297-313).
Springer DOI 2304
BibRef

Brodic, D.[Darko], Amelio, A.[Alessia], Milivojevic, Z.N.[Zoran N.],
An Image Texture Analysis Method for Minority Language Identification,
IWCIA17(280-293).
Springer DOI 1706
Character analysis. BibRef

Singh, A.K.[Ajeet Kumar], Jawahar, C.V.,
Can RNNs reliably separate script and language at word and line level?,
ICDAR15(976-980)
IEEE DOI 1511
Recognition Free Methods BibRef

Ray, A.[Anupama], Rajeswar, S.[Sai], Chaudhury, S.[Santanu],
OCR for bilingual documents using language modeling,
ICDAR15(1256-1260)
IEEE DOI 1511
BibRef

Ul-Hasan, A.[Adnan], Afzal, M.Z.[Muhammad Zeshan], Shafait, F.[Faisal], Liwicki, M.[Marcus], Breuel, T.M.[Thomas M.],
A sequence learning approach for multiple script identification,
ICDAR15(1046-1050)
IEEE DOI 1511
LSTM networks; Script-identification; multilingual OCR BibRef

Wahyono, Jeong, M.[Munho], Jo, K.H.[Kang-Hyun],
Multi language text detection using fast stroke width transform,
FCV15(1-4)
IEEE DOI 1506
edge detection BibRef

Bai, J.F.[Jin-Feng], Chen, Z.[Zhineng], Feng, B.[Bailan], Xu, B.[Bo],
Image character recognition using deep convolutional neural network learned from different languages,
ICIP14(2560-2564)
IEEE DOI 1502
Character recognition BibRef

del Agua, M.A.[Miguel A.], Serrano, N.[Nicolás], Juan, A.[Alfons],
Language Identification for Interactive Handwriting Transcription of Multilingual Documents,
IbPRIA11(596-603).
Springer DOI 1106
BibRef

Song, Y.H.[Yong-Hong], Xiao, G.L.[Gui-Lin], Zhang, Y.L.[Yuan-Lin], Yang, L.[Lei], Zhao, L.L.[Liu-Liu],
A Handwritten Character Extraction Algorithm for Multi-language Document Image,
ICDAR11(93-98).
IEEE DOI 1111
BibRef

Wang, K.[Kai], Jin, J.M.[Jian-Ming], Wang, Q.R.[Qing-Ren],
High Performance Chinese/English Mixed OCR with Character Level Language Identification,
ICDAR09(406-410).
IEEE DOI 0907
BibRef

Peake, G.S., Tan, T.N.,
Script and Language Identification from Document Images,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Hidden Markov Models, HMM .


Last update:Mar 16, 2024 at 20:36:19