Mark identification of proofed steel products

Chao Chung Peng, Bo Lin Jian, Tung Chin Wu, Chieh Li Chen

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

Abstract

A computer vision based recognition system is proposed to identify the mark of proofed steel product in this study. The identification process uses image processing with a template matching to locate and recognize marking letters and numbers. The two-dimensional Haar discrete wavelet transform (DWT) is used to achieve image pyramids, so that computational efficiency is improved significantly. The proposed auto-identification procedure can effectively adapted to different steel product according to a specified template.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages312-313
Number of pages2
ISBN (Electronic)9781479987443
DOIs
Publication statusPublished - 2015 Aug 20
Event2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan
Duration: 2015 Jun 62015 Jun 8

Publication series

Name2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Other

Other2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
CountryTaiwan
CityTaipei
Period15-06-0615-06-08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation
  • Media Technology

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  • Cite this

    Peng, C. C., Jian, B. L., Wu, T. C., & Chen, C. L. (2015). Mark identification of proofed steel products. In 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 (pp. 312-313). [7216917] (2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2015.7216917