Comparison single thresholding method for handwritten images segmentation

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

5 Citations (Scopus)

Abstract

Thresholding is one of the critical steps in pattern recognition and has a significant effect on the upcoming steps of image application, the important objectives of thresholding are as follows, separating objects from background, decreasing the capacity of data consequently increases speed. Handwritten recognition is one of the important issues, which have various applications in mobile devices. Peak signal noise ratio (PSNR) is one of the methods for measurement the quality of images. Our proposed method applies peak signal noise ratio (PSNR) as one of the indicator to segment the images. We also compare our proposed method with other existing methods and the results are comparable. This algorithm can be optimized to increase the performance. The result indicates that the proposed method works in average handwritten images because the PSNR value of proposed method is better than other methods.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
Pages92-96
Number of pages5
Volume1
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Image segmentation
Mobile devices
Pattern recognition

Keywords

  • binary image
  • OCR
  • pattern recognition
  • PSNR

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Pirahansiah, F., Sheikh Abdullah, S. N. H., & Sahran, S. (2011). Comparison single thresholding method for handwritten images segmentation. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 (Vol. 1, pp. 92-96). [5976918] https://doi.org/10.1109/ICPAIR.2011.5976918

Comparison single thresholding method for handwritten images segmentation. / Pirahansiah, Farshid; Sheikh Abdullah, Siti Norul Huda; Sahran, Shahnorbanun.

Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. p. 92-96 5976918.

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

Pirahansiah, F, Sheikh Abdullah, SNH & Sahran, S 2011, Comparison single thresholding method for handwritten images segmentation. in Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. vol. 1, 5976918, pp. 92-96, 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/ICPAIR.2011.5976918
Pirahansiah F, Sheikh Abdullah SNH, Sahran S. Comparison single thresholding method for handwritten images segmentation. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1. 2011. p. 92-96. 5976918 https://doi.org/10.1109/ICPAIR.2011.5976918
Pirahansiah, Farshid ; Sheikh Abdullah, Siti Norul Huda ; Sahran, Shahnorbanun. / Comparison single thresholding method for handwritten images segmentation. Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. pp. 92-96
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