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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 대한전자공학회 대한전자공학회 학술대회 ICEIC 2017 International Conference on Electronics, Information, and Communication
- 발행연도
- 2017.1
- 수록면
- 2 - 6 (5page)
이용수
초록· 키워드
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This paper introduces a novel technique of orientation estimation for character image recognition. Conventional methods of rotating images often use interpolation methods with a number of iterations of image rotations and adjustments. The accuracy of a character recognition algorithm depends on the quality of features and their invariance to deformation. The proposed method ensures that the extracted features are invariant to rotation deformation for character images. In addition it has low complexity, and thus are well suited for low power embedded applications. The key idea behind the low complexity lies in the accurate estimation of the orientation of a rotation-deformed image by calculating the center of mass of bipartite image. We demonstrate the performance of the proposed method using simulations with character images captured by a rotated camera.
목차
Abstract
1. Introduction
2. Proposed Technique
3. Orientation-Invariant Matching
4. Experimental Result
5. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2017-569-002206627