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Comparative study of character recognition on Thai license plate using DCT and FIR system
Author(s)
Date Issued
December 10, 2018
Type
Conference Paper
Abstract
Thai characters have rather similar shapes, which they are not same as English characters that have distinct shapes. Thereby, performing of Thai character recognition is not simple. In this paper, the recognition of characters and numbers on Thai license plate using DCT and FIR system methods is proposed and compared base on recognition rate. There are two ways of studying in DCT method. First, compute the coefficients of 1D-DCT by separation in the horizontal and vertical complements of character and represent them as the features of character. Second, combine the coefficients of 1D-DCT at each component in form of power spectrum of DCT and use it as the character features. For FIR system method, the impulse responses of FIR system are used as the features of character. The 120 car images under variant illumination conditions are used to testing all three methods. Moreover, some images are incomplete conditions such peeling paint, stained with slush and so on. In the results, the success of recognition rate for separation of DCT coefficients, power spectrum of DCT and FIR system methods was 99.15%, 48.30% and 98.30%, respectively.
Citation
International Conference on Control Automation and Systems, 2018-October, 650-655, 2018