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Tremor detection of handwritten Chinese signatures based on multiresolution decomposition using wavelet transforms

Tremor detection of handwritten Chinese signatures based on multiresolution decomposition using wavelet transforms

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A tremor detection scheme for handwritten signature verification is proposed. Based on the multi-resolution property of a wavelet transform, it can extract the trembling features of handwritten signatures. The scheme resolves the problem of distinguishing skilled forgery signatures from genuine signatures.

Inspec keywords: wavelet transforms; handwriting recognition

Other keywords: skilled forgery signatures; tremor detection; wavelet transforms; trembling features; signature verification; multiresolution decomposition; handwritten Chinese signatures

Subjects: Other numerical methods; Character recognition; Computer vision and image processing techniques

References

    1. 1)
      • Y. Qi , B.R. Hunt . A multiresolution approach to computer verification of handwritten signatures. IEEE Trans. , 870 - 874
    2. 2)
      • S. Mallat , S. Zhong . Characterization of signals from multi-scale edges. IEEE Trans. , 710 - 732
    3. 3)
      • Wen, C.J., Yau, H.F., Jeng, B.S., Miou, C.S.: `Segmentation of handwritten Chinese signature for signature verificationusing wavelet transform', Proc. 1995 Int. Symp. Commun., 27–29 December 1995, Taiwan, Republic of China.
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