Automatic signature verification based on the wavelet descriptor

Zijun Yang; C.-C. Jay Kuo

doi:10.1117/12.323217

1 October 1998 Automatic signature verification based on the wavelet descriptor

Zijun Yang, C.-C. Jay Kuo

Proceedings Volume 3460, Applications of Digital Image Processing XXI; (1998) https://doi.org/10.1117/12.323217
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

To extract relevant features hidden in signatures is an important step in signature verification system. A `good' feature makes it easier and more efficient to discriminate forgery signatures from genuine ones. In this research, a new technique employing the wavelet feature for automatic signature verification is proposed. Signatures can be characterized by their position information either in the time domain with a graphic tablet or in the space domain with the off-line tracing algorithm. An efficient tracing and representation algorithm for off-line signatures is considered here. First, the dynamic position function of static signatures can be recovered by a new tracing algorithm. Then, we develop a hierarchical feature extraction method to represent signatures by using the planar wavelet descriptor. The wavelet descriptor has many nice properties such as multiresolution, invariance, uniqueness, stability, and spatial localization. With the wavelet descriptor, stable, efficient and representative features are extracted from signatures. It has been demonstrated with experimental results that features described by the wavelet descriptor have a better performance than Fourier descriptors in the signature verification application. Finally, we perform extensive system evaluation, and show that the wavelet descriptor technique provides significant advantages in feature extraction and information reduction for signature verification.

Citation Download Citation

Zijun Yang and C.-C. Jay Kuo "Automatic signature verification based on the wavelet descriptor", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); https://doi.org/10.1117/12.323217

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