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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.12
- 수록면
- 526 - 534 (9page)
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In this paper, we studied the use of the foreground and background features and SVM classifier to improve the accuracy of offline handwritten numeral recognition. The foreground features are two directional features: directional gradient feature by Kirsch operators and directional stroke feature by local shrinking and expanding operations, and the background feature is concavity feature which is extracted from the convex hull of the numeral, where the concavity feature functions as complement to the directional features. During classification of the numeral, these three features are combined to obtain good discrimination power. The efficiency of our scheme is tested by recognition experiments on the handwritten numeral database CENPARMI, where SVM classifier with RBF kernel is used. The experimental results show the usefulness of our scheme and recognition rate of 99.10% is achieved.
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등록된 정보가 없습니다.
참고문헌 (25)
참고문헌 신청
[학술지(정기간행물)] - O.D. Trier. / 1996 / Feature Extraction Methods for Character Recognition-A Survey / Pattern Recognition 29 (4) : 641 ~ 662
[학술지(정기간행물)] - N. Arica / 2001 / An Overview of Character Recognition Focused on Off-Line Handwriting / IEEE Transactions on Systems, Man, And Cybernetics-Part C : Application and Reviews 31 (2) : 216 ~ 233
[학술지(정기간행물)] - 정순원 / 2009 / Local min/max 연산을 이용한 필기체 숫자의 방향특징 추출 / 신호처리.시스템학회 논문지 10 (1) : 7 ~ 12
[학술대회논문] - A. D. Parkins / 2005 / Method for calculating first-order derivative based feature saliency information in a trained neural network and its application to handwritten digit recognition / Vision, Image and Signal Processing, IEE Proceedings 152 (2) : 137 ~ 147
[학술대회논문] - U. Bhattacharya / 2006 / Neural Combination of ANN and HMM for Handwritten Devanagari Numeral Recognition / 10th-International Workshop on Frontiers in Handwriting Recognition(IWFHR) : 613 ~ 618
[학술지(정기간행물)] - N. Arica / 2001 / An Overview of Character Recognition Focused on Off-Line Handwriting / IEEE Transactions on Systems, Man, And Cybernetics-Part C : Application and Reviews 31 (2) : 216 ~ 233
[학술지(정기간행물)] - 정순원 / 2009 / Local min/max 연산을 이용한 필기체 숫자의 방향특징 추출 / 신호처리.시스템학회 논문지 10 (1) : 7 ~ 12
[학술대회논문] - A. D. Parkins / 2005 / Method for calculating first-order derivative based feature saliency information in a trained neural network and its application to handwritten digit recognition / Vision, Image and Signal Processing, IEE Proceedings 152 (2) : 137 ~ 147
[학술대회논문] - U. Bhattacharya / 2006 / Neural Combination of ANN and HMM for Handwritten Devanagari Numeral Recognition / 10th-International Workshop on Frontiers in Handwriting Recognition(IWFHR) : 613 ~ 618
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UCI(KEPA) : I410-ECN-0101-2017-056-001389487