DocumentCode :
2438181
Title :
Recognizing numbers from the low-resolution patterns in digital images
Author :
Tsomko, Elena ; Kim, Hyoung Joong
Author_Institution :
Multimedia Dept., Namseoul Univ., Cheonan, South Korea
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we suggest a new method for solving a problem of recognition numbers from low-resolution (LR) patterns in digital images. Having the digital photographs, for example, with the cars, we can recognize the numbers in the license plates of the cars, even if the plate patterns are still unclear after applying the Super-Resolution. The proposed method is based on statistical analysis and learning the features of the single LR digit pattern with the features of high-resolution (HR) one.
Keywords :
feature extraction; image resolution; learning (artificial intelligence); object recognition; statistical analysis; HR; LR digit pattern feature learning; digital images; high-resolution feature; low-resolution patterns; number recognition; statistical analysis; super-resolution; Image edge detection; Licenses; Mathematical model; Pattern recognition; Shape; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services (WIAMIS), 2012 13th International Workshop on
Conference_Location :
Dublin
ISSN :
2158-5873
Print_ISBN :
978-1-4673-0791-8
Electronic_ISBN :
2158-5873
Type :
conf
DOI :
10.1109/WIAMIS.2012.6226777
Filename :
6226777
Link To Document :
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