License Plate Localization Using Genetic Algorithm including Color Feature Extraction. (2016)

• Record Type: Journal Article
• Authors: Unnikrishnan, Arya P.; Romeo, Roshini; Rawther, Fabeela Ali
• Is Part Of: Procedia technology. Volume 24(2016)
• Page Start: 1445
• Page End: 1451
• Publication Date: 2016
• Subjects: Connected Component Analysis -- Size Filtering -- Genetic Algorithms -- Color Feature Extraction; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2016.05.173
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: This paper contains a concept which is the combination of image processing and genetic algorithms. Here is a proposal for a design of a new genetic algorithm, which is introduced to detect the license plate location. It is done by converting the taken image into binary format from gray-scale image. Also connected component analysis is implemented to detect the candidate objects in that given image. A new genetic algorithm is proposed to find out the location of license plate number in the given image. Two new crossover operators, based on sorting, are introduced, which greatly improve the performance of the system. The genetic algorithm phase also takes the color feature extraction of the input color image in calculating the fitness function. The system is implemented using MATLAB and various image samples are experimented with to verify the distinction of the proposed system with the existing methods. More than 100 input images are tested by this proposed method.