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Research Article | Open Access |

Object’s Shape Recognition using Local Binary Patterns

Author 1: Muhammad Wasim Author 2: Adnan Ahmed Siddiqui Author 3: Abdul Aziz Author 4: Lubaid Ahmed Author 5: Syed Faisal Ali Author 6: Fauzan Saeed
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 8 · Published 2017

DOI: https://doi.org/10.14569/IJACSA.2017.080833

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Abstract

This paper discusses the concept of object’s shape identification using local binary pattern technique (LBP). Since LBP is computationally simple it has been utilized successfully for recognition of various objects. LBP which has the potential to be used in various identification related fields was applied on a number of different shaped objects, the process converted the given image in to 3x3 binary matrices and several rounds of computation yields the final decision parameter, which is known as merit function. This parameter was then exploited to uniquely identify the shape of different objects.

Keywords

Local binary patterns object shape recognition security technologies content based recognition

How to Cite this Article

Wasim, M., Siddiqui, A. A., Aziz, A., Ahmed, L., Ali, S. F., & Saeed, F. (2017). Object’s Shape Recognition using Local Binary Patterns. International Journal of Advanced Computer Science and Applications, 8(8). https://doi.org/10.14569/IJACSA.2017.080833

Wasim, Muhammad, et al.. "Object’s Shape Recognition using Local Binary Patterns." International Journal of Advanced Computer Science and Applications, vol. 8, no. 8, 2017, https://doi.org/10.14569/IJACSA.2017.080833.

@article{Wasim2017,
  title     = {Object’s Shape Recognition using Local Binary Patterns},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {8},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Muhammad Wasim and Adnan Ahmed Siddiqui and Abdul Aziz and Lubaid Ahmed and Syed Faisal Ali and Fauzan Saeed},
  doi       = {10.14569/IJACSA.2017.080833},
  url       = {https://doi.org/10.14569/IJACSA.2017.080833}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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