• Published 2017

USING AN ANT COLONY OPTIMIZATION ALGORITHM FOR IMAGE EDGE DETECTION AS A THRESHOLD SEGMENTATION FOR OCR SYSTEM

@inproceedings{Asgari2017USINGAA,
  title={USING AN ANT COLONY OPTIMIZATION ALGORITHM FOR IMAGE EDGE DETECTION AS A THRESHOLD SEGMENTATION FOR OCR SYSTEM},
  author={Maryam Asgari and Farshid PirahanSiah and Mohammad Shahverdy and Mehdi Fartash},
  year={2017}
}
Binarization or thresholding is one problem that have to solve in pattern recognition methods and applications. Moreover, it has a very important influence on the sequent steps in computer vision applications such as, Optical Character Recognition (OCR), image segmentation, and tracking objects. Ant colony optimization (ACO) is a population-based metaheuristic which use to solve optimizations problems in diverse fields, such as traffic congestion and control, structural optimization… CONTINUE READING

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SHOWING 1-10 OF 23 REFERENCES

PirahanSiah, "GSFT-PSNR: Global Single Fuzzy Threshold Based on PSNR for OCR Systems

M. S. Farshid
  • International Journal of Computer Science and Network Solutions,
  • 2016
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Augmented optical flow methods for video stabilization

F. PirahanSiah, S.N.H.S. Abdullah, S. Sahran
  • 4th Artificial Intelligence Technology Postgraduate Seminar (CAITPS 2015), Faculty of Information Science and Technology (FTSM) - UKM on 22 and 23 December 2015, 2015, pp. 47-52.
  • 2015
VIEW 1 EXCERPT