Recognizing numbers from the low-resolution patterns in digital images

Elena Tsomko, Hyoung Joong Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2012 13th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2012
DOIs
Publication statusPublished - 2012
Event2012 13th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2012 - Dublin City, Ireland
Duration: 2012 May 232012 May 25

Publication series

NameInternational Workshop on Image Analysis for Multimedia Interactive Services
ISSN (Print)2158-5873
ISSN (Electronic)2158-5881

Other

Other2012 13th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2012
CountryIreland
CityDublin City
Period12/5/2312/5/25

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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  • Cite this

    Tsomko, E., & Kim, H. J. (2012). Recognizing numbers from the low-resolution patterns in digital images. In 2012 13th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2012 [6226777] (International Workshop on Image Analysis for Multimedia Interactive Services). https://doi.org/10.1109/WIAMIS.2012.6226777