Research on the vehicle recognition based on invariant moment

Shuaizong Wang*, Xiaoping Li, Xiaoxing Lv, Lin Zhang, Yinxiang Li, Hongjian Dong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper discuses the application of wavelet analysis and invariant movements on automatic vehicle recognition. The wavelet analysis was used to get multi-scale edge images, and the invariant moments were used to anti-tilt and anti-interference, and to correct the vehicles of the images. Then we can compare similarity through the Euclidean distance between two images' normalized moment vectors. The experimental result has demonstrated good performance in recognition of various vehicle types. It can work accurately and quickly.

Original languageEnglish
Title of host publicationNISS2010 - 4th International Conference on New Trends in Information Science and Service Science
Pages329-332
Number of pages4
Publication statusPublished - 2010
Event4th International Conference on New Trends in Information Science and Service Science, NISS2010 - Gyeongju, Korea, Republic of
Duration: 11 May 201013 May 2010

Publication series

NameNISS2010 - 4th International Conference on New Trends in Information Science and Service Science

Conference

Conference4th International Conference on New Trends in Information Science and Service Science, NISS2010
Country/TerritoryKorea, Republic of
CityGyeongju
Period11/05/1013/05/10

Keywords

  • Automatic vehicle recognition
  • Invariant movements
  • Wavelet

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