지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.2
- 수록면
- 28 - 41 (14page)
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초록· 키워드
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License plate recognition is usually divided into three stages that are license plate location, character segmentation, and character recognition, which is the most important stage. In recent years, many methods of character recognition have been proposed. This paper presents a mapping-based scheme of character recognition to improve the accuracy and efficiency of some previous methods. The proposed method divides each character to be recognized into three parts, and three edge histograms (EH) are created for each partial character to account for the eight different edges featured in this type of character recognition. Therefore, an edge histogram has eight features of a tripartite character, and each character is recognized by three or less edge histograms. In this paper, therefore, the proposed three-edge histogram extraction method is called tripartite edge histogram (TEH). Experimental results show an average recognition accuracy of 95.295% for the proposed scheme, and the recognition speed is 0.35 seconds per character.
목차
Abstract
Introduction
Related Work
Preprocessing
The Tripartite Edge Histogram Character Recognition Scheme
Experimental Results
Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2015-500-002466024