Improved license plate detection using HOG-based features and genetic algorithm

MUHAMMAD, Jawad | ALTUN, Halis

In this paper, a new improved plate detection method which uses genetic algorithm (GA) is proposed. GA randomly scans an input image using a fixed detection window repeatedly, until a region with the highest evaluation score is obtained. The performance of the genetic algorithm is evaluated based on the area coverage of pixels in an input image. It was found that the GA can cover up to 90% of the input image in just less than an average of 50 iterations using 30×130 detection window size, with 20 population members per iteration. Furthermore, the algorithm was tested on a database that contain ...Daha fazlası

Konferans Bildirisi 2016 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme

Erişime Açık

A Systematic Circular Weight Initialisation of Kohonen Neural Network for Travelling Salesman Problem

MUHAMMED, Jawad | ALTUN, Halis

Self-organising neural networks have since been employed by researchers in solving the travelling salesman problem. However, with these networks, the final tour length as well as the convergence time, largely depends on the initial weights of the networks. In this paper, systematic initialisation of Kohonen neural network weight in a circle is presented, that involves randomly initialising the weights to be along a circular path, with centroid equals the centroid of all the cities. Our major contribution is on having the circle exhibit different radius on each test run, in order to effectively ...Daha fazlası

Konferans Bildirisi 2016 Institute of Electrical and Electronics Engineers Inc. 6 Görüntülenme

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Improved license plate detection using HOG-based features and genetic algorithm

MUHAMMAD, Jawad | ALTUN, Halis

A Systematic Circular Weight Initialisation of Kohonen Neural Network for Travelling Salesman Problem

MUHAMMED, Jawad | ALTUN, Halis