Using Ant's Colony Algorithm for improved segmentation for number plate recognition

— In this paper a number plate recognition system has been designed using the ant colony optimization technique. This system can be implemented in surveillance systems, detection of stolen vehicles and checking of vehicles at toll plazas, posts, barriers sand other entry points. In this paper, an ant colony based number plate extraction method is proposed. Ant colony optimization technique serves better results in edge detection while applying image segmentation, so using the concept in number plate recognition promises better accuracy. The Ant colony optimization (ACO) is an optimization algorithm inspired by the natural behavior of ant species that ants deposit pheromone on the ground for foraging. ACO is introduced to give a better image edge detection. The proposed ACO-based edge detection approach is able to establish a pheromone matrix that represents the edge information presented at each pixel position of the image, according to the movements of a number of ants which are dis...

• Type: Journal
• Year: 2015
• Where: ACISICIS
• Authors: Sanchay Dewan, Shreyansh Bajaj, Shantanu Prakash
• Keywords: ACISICIS 2015, Information Technology