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- W2375865514 abstract "Based on former research, this paper proposes a new scheme for off-line handwritten Chinese signatures verification with wavelet transform and moment invariants. When wavelet transform is utilized, first grey scale image of signature is obtained through thresholding the original scanned image by using Ostu algorithm. Then weighted normalized histogram is calculated, and a 4-level dyadic discrete wavelet transform is implemented on it with Daubechies(4). 4th level approximate coefficients are reconstructed. Unlike usual application of wavelet transform to extract detail information, approximate information is obtained, which implies the grey level distribution of signature image. Then a ratio of sum of pixels with grey level lower than that of pixels with the maximum of reconstructed approximate coefficients to sum of all pixels except white ones is computed. And another ratio of distance of grey level value from the lowest grey level value to that of the highest grey level value from the lowest one is calculated. At last a ratio feature of one ratio to the other is computed. Combined with other features including static features which are pseudo-Zernike invariant moments and other dynamic features, they constitute a eigenvector of 17 features. A verification system for off-line signatures is developed, and it's tested using 290 signatures. Experiments result shows that FAR(false acceptance rate) and FRR(false rejection rate) can achieve 7.83% and 6.88% respectively." @default.
- W2375865514 created "2016-06-24" @default.
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- W2375865514 date "2004-01-01" @default.
- W2375865514 modified "2023-09-26" @default.
- W2375865514 title "Off-line Chinese Signature Verification Based on WaveletTransform and Invariant Moments" @default.
- W2375865514 hasPublicationYear "2004" @default.
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