多車牌辨識系統之研究

梁智凱

doi:10.6846/TKU.2006.00858

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多車牌辨識系統之研究

A Study of Multiple Vehicle License Plates Recognition System

梁智凱 , Masters　　Advisor：謝景棠　　

繁體中文 DOI： 10.6846/TKU.2006.00858

車牌偵測；字元切割；車牌辨識；類神經網路； License Plate Detection ； Character Segmentation ； License Plate Recognition ； Neural Network

Abstract │ Reference (30) │ Times Cited (2) │ Altmetrics

Abstract 〈TOP〉

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In this paper we propose a structure and design of a multiple vehicle license plates recognition system. It can search more than one correct positions of plate in an image and cut out each single word on the plates and then utilize neural network to distinguish out the information on the plates.

In the proposed method, we use preprocess of contrast enhancement to improve the accuracy of plate location. Then we use the edge angle and morphological method to get rid of the complicated background, and utilize the symmetrical characteristics to find out the plate and define the area including characters as plate locations.

Then, we use connected-component analysis to find out the slope of plate and rotate the plate according to the angles sloped, later cut out each labeled character sequentially.

In the recognition, we use the neural network because of the ability that a large number of neurons imitate the neural network of living beings. Besides, neural network has high and getting fault-tolerant, and that is helpful to against the noisy or incomplete cut characters.

This research is tested with the inputted images conduct of single vehicle and multi vehicles, shot in the evening, fine and cloudy day. And there are 329 single vehicle images and 141 multi vehicles images, totaling 287 plates. In order to test system efficiency, we also add the plates which are shot under on viewable angles.

Reference ( 30 ) 〈TOP〉

[1] X. F. Hermida, F. M. Rodriguez, and J. L. Fernandez, “A System for the Automatic and Real Time Recognition of V. L. P. (Vehicle License plates),” in proc. of International Conference on Image Analysis and Processing, Florencia, Italia. Sep. 1997.
連結：
[2] P. Comelli, et al., “Optical Recognition of Motor Vehicle License Plates,” IEEE Trans. on Vehicular Technology, vol. 44, no. 4, Nov. 1995, pp.790-799.
連結：
[3] S. Draghici, “A Neural Network Based Artificial Vision System for License Plate Recognition,” International Journal of Neural Systems, vol. 8, no. 1, 1997, pp. 113-126.
連結：
[4] T. Naito, et al., “Robust License-Plate Recognition Method for Passing Vehicles under outside Environment,” IEEE Trans. on Vehicular Technology, vol. 49, no. 6, Nov. 2000, pp. 2309-2319.
連結：
[7] S. K. Kim, D. W. Kim, and H. J. Kim, “A Recognition of Vehicle License Plate Using a Genetic Algorithm Based Segmentation,” in Proc. of International Conference on Image Processing, vol. 1, Sep. 1996, pp.661-664.
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