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