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 :
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