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논문 기본 정보

자료유형
학술대회자료
저자정보
Kaset Sirisantisamrid (King Mongkut’s Institute of Technology Ladkrabang) Napasool Wongvanich (King Mongkut’s Institute of Technology Ladkrabang) Suphan Gulpanich (King Mongkut’s Institute of Technology Ladkrabang)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2018
발행연도
2018.10
수록면
650 - 655 (6page)

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초록· 키워드

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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.

목차

Abstract
1. INTRODUCTION
2. DISCRETE COSINE TRANSFORM
3. FIR SYSTEM
4. PROPOSED METHOD
5. EXPERIMENTAL RESULTS
6. CONCLUSIONS
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UCI(KEPA) : I410-ECN-0101-2018-003-003538885