Signature recognition system and method
First Claim
1. A method of electronically learning a signature, comprising the steps of:
- sampling a signature and obtaining raw data representative thereof using a recursive sampling process;
translating the raw data into high dimension vectors; and
extracting, via an unsupervised neural network, high order principal components of the high dimension vectors by cumulative ortho-normalization.
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Abstract
A method of authenticating a signature including the steps of sampling a signature and storing data representative of the signature, converting the data to high dimensions vectors, feeding the high dimension vectors to an unsupervised neural network, performing a high order principal component extraction process on the high dimensions vectors to thereby identifying clusters of high dimension points, and analyzing the clusters of high dimension points to determine, based on previously stored information, the authenticity of the signature. Also an apparatus for such authentication including a sampling device for sampling a signature and storing data representative of the signature, a converting device connected downstream of the sampling device for converting the data to high dimension vectors, an unsupervised neural network for receiving the high dimension and performing a high order principal component extraction process on the high dimensions vectors to thereby identify clusters of high dimension points, and an analyzing device connected to the unsupervised neural network for analyzing the clusters of high dimension points to determine the authenticity of the signature.
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Citations
13 Claims
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1. A method of electronically learning a signature, comprising the steps of:
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sampling a signature and obtaining raw data representative thereof using a recursive sampling process;
translating the raw data into high dimension vectors; and
extracting, via an unsupervised neural network, high order principal components of the high dimension vectors by cumulative ortho-normalization. - View Dependent Claims (2, 3, 4)
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5. Software for electronically learning a signature, the software encoded in media and operable when executed to:
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sample a signature and obtaining raw data representative thereof using a recursive sampling process;
translate the raw data into high dimension vectors; and
extract, via an unsupervised neural network, high order principal components of the high dimension vectors by cumulative ortho-normalization. - View Dependent Claims (6, 7, 8)
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9. A computer for electronically learning a signature, comprising:
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memory; and
one or more processors collectively operable to;
sample a signature and obtaining raw data representative thereof using a recursive sampling process;
translate the raw data into high dimension vectors; and
extract, via an unsupervised neural network, high order principal components of the high dimension vectors by cumulative ortho-normalization. - View Dependent Claims (10, 11, 12)
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13. A system for electronically learning a signature comprising:
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means for sampling a signature and obtaining raw data representative thereof using a recursive sampling process;
means for translating the raw data into high dimension vectors; and
means for extracting, via an unsupervised neural network, high order principal components of the high dimension vectors by cumulative ortho-normalization.
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Specification