Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system

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

11 Citations (Scopus)

Abstract

The objective of this paper is to propose an adaptive threshold method based on peak signal to noise ratio (PSNR). Nowadays, PSNR has been widely used as stopping criteria in multi level threshold method for segmenting images. Alternatively, we apply the PSNR as criteria to find the most suitable threshold value. We evaluate this proposed method on license plate recognition application. At the same time, we compare this proposed algorithm with multi-level and multi-threshold methods as the benchmark. Via the proposed technique, it could relatively change according to environment such as when there is a high or low contrast situation.

Original languageEnglish
Title of host publicationICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Pages468-472
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur
Duration: 5 Dec 20107 Dec 2010

Other

Other2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010
CityKuala Lumpur
Period5/12/107/12/10

Fingerprint

Image segmentation
Signal to noise ratio

Keywords

  • Adaptive threshold
  • Image segmentation
  • License plate recognition
  • PSNR
  • Thresholding image segmentation

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

PirahanSiah, F., Sheikh Abdullah, S. N. H., & Sahran, S. (2010). Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics (pp. 468-472). [5735125] https://doi.org/10.1109/ICCAIE.2010.5735125

Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system. / PirahanSiah, Farshid; Sheikh Abdullah, Siti Norul Huda; Sahran, Shahnorbanun.

ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. p. 468-472 5735125.

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

PirahanSiah, F, Sheikh Abdullah, SNH & Sahran, S 2010, Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system. in ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics., 5735125, pp. 468-472, 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, Kuala Lumpur, 5/12/10. https://doi.org/10.1109/ICCAIE.2010.5735125
PirahanSiah F, Sheikh Abdullah SNH, Sahran S. Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. p. 468-472. 5735125 https://doi.org/10.1109/ICCAIE.2010.5735125
PirahanSiah, Farshid ; Sheikh Abdullah, Siti Norul Huda ; Sahran, Shahnorbanun. / Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system. ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. pp. 468-472
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