29 July 1994 Real-time signature verification using neural network algorithms to process optically extracted features
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Abstract
A technique for handwritten signature verification is proposed which combines the pattern recognition abilities of neural networks with the feature extraction capabilities of optics. This two-part technique enables real time signature verification based upon power spectrum features and stored linear least squares and Gaussian radial basis function neural network weights.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ned Francis O'Brien and Steven C. Gustafson "Real-time signature verification using neural network algorithms to process optically extracted features", Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); doi: 10.1117/12.181036; https://doi.org/10.1117/12.181036
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