Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080833
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 8, 2017.
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.
Muhammad Wasim, Adnan Ahmed Siddiqui, Abdul Aziz, Lubaid Ahmed, Syed Faisal Ali and Fauzan Saeed, “Object’s Shape Recognition using Local Binary Patterns” International Journal of Advanced Computer Science and Applications(IJACSA), 8(8), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080833