The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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An Improved Recognition Technique for Bar Code Images Using Upsampling

업샘플링을 통한 바코드 이미지 인식 성능 개선

  • Ahn, Heejune (SeoulTech, Dept. of Electrical and Information Eng.) ;
  • Do, Thanh Tuan (SeoulTech, Dept. of Electrical and Information Eng.)
  • Received : 2016.07.07
  • Accepted : 2016.07.25
  • Published : 2016.08.31
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Abstract

Recently barcode detection using a camera is popular, but the recognition performance is low at the effectively low-resolution. The paper propose sub-pixel synchronization technique for better recognition performance. The experiments with ITF-18 demonstrates its performance gain (66% for CIF, 100% for VGA) against the existing recognition algorithms.

최근 이미지기반 바코드 인식 시스템의 활용도가 커지고 있으나, 촬영된 바코드영역의 유효해상도가 낮은 경우 인식률이 현저하게 저하된다. 본 논문에서는 낮은 유효해상도에서도 인식률을 향상시킬 수 있는 업샘플링을 통한 부화소-레벨 동기화 방법을 제안한다. 표준 ITF-18 포맷에 대한 실험결과 VGA ($640{\times}480$)급, CIF ($320{\times}240$)인 영상에서 기존방식과 비교하여 각각 66%, 100%의 인식률 증가를 확인 하였다.

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References

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