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  • Rhen Anjerome R. Bedruz, Edwin Sybingco, Ana Riza F. Quiros, Aaron Christian P. Uy, Ryan Rhay P. Vicerra, Elmer P. Dadios
  • Computer Science
  • IEEE Region 10 Conference (TENCON)
  • 2016 (First Publication: 1 November 2016)
  • This paper proposes a vehicle plate optical character recognition method using scale invariant feature transform integrated with image segmentation and fuzzy logic. Image segmentation separates everyContinue Reading
  • Aaron Christian P. Uy, Rhen Anjerome R. Bedruz, Ana Riza Quiros, Argel A. Bandala, Elmer P. Dadios
  • Computer Science
  • International Conference on Humanoid…
  • 2015 (First Publication: 1 December 2015)
  • This paper presents a machine vision algorithm to detect traffic violations specifically swerving and blocking the pedestrian lane. The proposed solution consists of background difference method, andContinue Reading
  • Ana Riza F. Quiros, Rhen Anjerome R. Bedruz, Aaron Christian P. Uy, Alexander C. Abad, Argel A. Bandala, Elmer P. Dadios
  • Computer Science
  • IEEE Region 10 Conference (TENCON)
  • 2016 (First Publication: 1 November 2016)
  • One of the problems encountered by motorists are congested roads. Current technology cannot easily broadcast the information about which roads are heavily congested and which are not to theContinue Reading
  • Rhen Anjerome R. Bedruz, Edwin Sybingco, Argel A. Bandala, Ana Riza F. Quiros, Aaron Christian P. Uy, Elmer P. Dadios
  • Computer Science
  • IEEE Region 10 Conference (TENCON)
  • 2016 (First Publication: 1 November 2016)
  • This paper proposes a vehicle plate localization method using genetic algorithm integrated with image thresholding. Image thresholding outputs a value which varies on the time the image is captured.Continue Reading
  • Rhen Anjerome R. Bedruz, Edwin Sybingco, Argel A. Bandala, Ana Riza F. Quiros, Aaron Christian P. Uy, Elmer P. Dadios
  • Computer Science
  • 2017IEEE 9th International Conference on Humanoid…
  • 2017 (First Publication: 1 December 2017)
  • Implementing computer vision on traffic scenarios are one of the most widely sought area in the field of vision research. In dealing with the surveillance in traffic scenarios, every vehicle in theContinue Reading