Philippine license plate character recognition using faster R-CNN with inceptionV2

• Main Authors: Amon, Mari Christine E., Brillantes, Allysa Kate M., Billones, Ciprian D., Billones, Robert Kerwin C., Jose, John Anthony C., Sybingco, Edwin, Dadios, Elmer Jose P., Fillone, Alexis, Gan Lim, Laurence, Bandala, Argel A.
• 格式: text
• 出版: Animo Repository 2019
• 主題: Optical character recognition devices; Automobile license plates; Neural networks (Computer science; Electrical and Computer Engineering
• 在線閱讀: https://animorepository.dlsu.edu.ph/faculty_research/1591; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2590/type/native/viewcontent
• 機構: De La Salle University

This research proposes a method for automatic license plate recognition (ALPR) using the Faster R-CNN with InceptionV2 feature extractor that works in the Philippines. While there exist character recognition systems, there still remains difficulty in recognition due to different variations of Philip...