Offline Signature Verification Through Probabilistic Neural Network

WSCG 2010: COMMUNICATION PAPERS PROCEEDINGS(2010)

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摘要
In this paper, we show the positive potential of verifying the offline handwritten signatures through discrete Radon transform (DRT), principle component analysis (PCA) and probabilistic neural network (PNN). Satisfactory results are obtained with 1.51%, 3.23%, and 13.07% equal error rate (EER) for random, casual, and skilled forgeries respectively on our independent database.
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关键词
Offline signature verification, discrete Radon transform, principle component analysis, probabilistic neural network
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