6 August 1993 Neural network signature verification using Haar wavelet and Fourier transforms
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Proceedings Volume 2064, Machine Vision Applications, Architectures, and Systems Integration II; (1993) https://doi.org/10.1117/12.150284
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
This paper discusses the use of neural network's for handwritten signature verification using the Fourier and Haar wavelet transforms as methods of encoding signature images. Results will be presented that discuss a neural network's ability to generalize to unseen signatures using wavelet encoded training data. These results will be discussed with reference to both Backpropagation networks and Cascade-Correlation networks. Backpropagation and Cascade- Correlation networks are used to compare and contrast the generalization ability of Haar wavelet and Fourier transform encoded signature data.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel K. R. McCormack, B. Malcom Brown, John F. Pedersen, "Neural network signature verification using Haar wavelet and Fourier transforms", Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); doi: 10.1117/12.150284; https://doi.org/10.1117/12.150284
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