[1]ZHANG Wenchao,LYU Yue,WEN Ying,et al.Specific handwritten keyword spotting using geometric information and SIFT feature[J].CAAI Transactions on Intelligent Systems,2014,9(5):544-550.[doi:10.3969/j.issn.1673-4785.201402032]
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Specific handwritten keyword spotting using geometric information and SIFT feature
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
9
Number of periods:
2014 5
Page number:
544-550
Column:
学术论文—机器学习
Public date:
2014-10-25
- Title:
- Specific handwritten keyword spotting using geometric information and SIFT feature
- CLC:
- TP18
- DOI:
- 10.3969/j.issn.1673-4785.201402032
- Abstract:
- Large variety of Chinese characters and handwriting styles leads to a big challenge for keyword spotting in Chinese handwritten documents. A new method combining the character geometric information and SIFT feature is proposed for detecting handwritten keywords of specific handwritten. It is proven that SIFT is a stable and distinctive local feature, which can perform well in distinguishing different handwriting styles. Combined with character geometric information and maximum clique matching, the proposed method can effectively remove miss-matching feature points and improve the precision rate of detection. Experimental results in handwriting document images show that the method can efficiently detect keywords of particular writers and remain high recall rate and high precision rate.
- References:
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1900-01-01