On the parallelization of closed-set patterns classification for an automatic license plate recognition system
Abstract
One of the objectives for a smart city is by applying the fast car retrieval system, which
requires the tracking of a vehicle LP (License Plate) using a detection sensor system. ALPR
(automatic license plate recognition) system is important through different walks of life, such
as: security, access control, and law enforcement in traffic violation systems. In a previous
work [1], multiple closed-set patterns belonging to the Saudi LP are extracted and classified
using classification and clustering techniques. A reasonable delay in time is accumulated
while extracting the image features before being categorized to a certain cluster. A problem
arises that we are not able to process the amount of information in real-time, therefore it is
crucial to reduce processing time. The solution is by applying the parallelization processes
that enables the online processing of images by an embedded system
Coauthor(s)
Ahmed Ahmed Zekri, Ali Yassine El-Zaart, Rached Rached Zantout
Journal/Conference Information
Sensors Networks Smart and Emerging Technologies (SENSET), 2017,Conference Type: International, Location: Beirut, Lebanon, Organized By: Lebanese University, Proceeding Format: Electronic editions, Conference Date: 9/14/2017,