Writer identification using Gabor wavelet
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 3 - Trang 2061-2064 vol.3
Tóm tắt
This paper focuses on a system to fulfill writer identification, which identifies a person with his/her handwriting. A text independent method is proposed in this paper, which involves no local feature analysis. First, a preprocessing method is employed to normalize script images. Then, 2D Gabor wavelet technique is developed to extract the global features. Finally a K-nearest neighbor (K-NN) classifier is designed to identify the person with the identified handwriting. Illustrative experiments are made with 110 specimens of 50 people, and a result of 97.6% accuracy is achieved with the writer identification approach proposed in this paper.
Từ khóa
#Feature extraction #Colored noise #Image processing #Gabor filters #Control engineering #Computers #Focusing #Wavelet analysis #Image texture analysis #HumansTài liệu tham khảo
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