DocumentCode
2489933
Title
Machine reading of camera-held low quality text images: An ICA-based image enhancement approach for improving OCR accuracy
Author
Garain, Utpal ; Jain, Atishay ; Maity, Anjan ; Chanda, Bhabatosh
Author_Institution
Indian Stat. Inst., Kolkata
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
4
Abstract
An Independent Component Analysis (ICA)-based image enhancement technique is presented to improve the accuracy for machine reading of camera-based images. Images of inscriptions that are normally engraved on stones or other durable materials and found at the sites of historical monuments are taken as a reference for conducting the present experiments. Significant improvement in recognition rate of a commercial OCR system shows the potential of the proposed ICA-based method. It improves word and character recognition accuracies of the OCR system by 68.6% (from 11.2% to 79.8%) and 57.3% (from 34.8% to 92.1%), respectively.
Keywords
image enhancement; independent component analysis; optical character recognition; camera-held low quality text images; image enhancement; independent component analysis; machine reading; optical character recognition; Character recognition; Image analysis; Image enhancement; Image recognition; Independent component analysis; Information technology; Optical character recognition software; Pixel; Text recognition; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4761840
Filename
4761840
Link To Document