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License plate localization based on statistical measures of license plate features

  • Simant Prakoonwit
    ,
  • Noppakun Boonsim
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

— License plate localization is considered as the most important part of license plate recognition system. The high accuracy rate of license plate recognition is depended on the ability of license plate detection. This paper presents a novel method for license plate localization bases on license plate features. This proposed method consists of two main processes. First, candidate regions extraction step, Sobel operator is applied to obtain vertical edges and then potential candidate regions are extracted by deploying mathematical morphology operations [5]. Last, license plate verification step, this step employs the standard deviation of license plate features to confirm license plate position. The experimental results show that the proposed method can achieve high quality license plate localization results with high accuracy rate of 98.26 %.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

International Journal on Recent Trends in Engineering and Technology

Publication milestones

  • Published - 01/01/2014

Publication status

Published - 01/01/2014

ISSN

2158-5555

External Publication IDs

  • handle.net: 10547/333822

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