Identification based on handwriting samples

Details Identification based on handwriting samples Identification based on handwriting samples

1976-08-20

1977-08-02

Boudreau, Leo H.

Communications: electrical

Digital comparator systems

3401463AQ, G06K 900

Patent

active

040400115

ABSTRACT:
An individual, who is to be subsequently identified, first signs his signature, hereinafter called a template signature, with a special pen, attached to circuits, which produce digital sample signals from which a set of parameters of his signature are derived. This set of template signature parameters is stored in a memory along with sets of parameters derived from template signatures of other individuals. Subsequently, when an individual signs his name with a special pen, the circuits will produce a set of parameters, corresponding to those produced for a template signature. Parameters are selected which can provide strong distinction between signatures. The selected parameters are then used to derive from memory only those sets of template parameters which include the selected parameters which have values falling within a predetermined acceptable range of values. These sets of template parameters are then compared by parameter methods (or, by correlation methods, if the raw signals are available) with the specimen set of parameters to determine the best comparison and thereby provide signature and individual identification.

REFERENCES:
patent: 3182290 (1965-05-01), Rabinow
patent: 3618019 (1971-11-01), Nemirovsky et al.
patent: 3675203 (1972-07-01), Baumann
patent: 3829831 (1974-08-01), Yamamoto et al.
Tou et al., "Recognition of Handwritten Characters . . . ," IEEE Trans. on Computers, July 1972, pp. 776-785.
Cutaia, "Multilevel Character Recognition System," IBM Tech. Disclosure Bulletin, vol. 13, No. 12, May 1971, pp. 3739-3742.

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