Computerized Signature Verification System

Dinesh P. Mital; Choo Pee Hin; Wee Kee Leng

doi:10.1109/37.478

Computerized Signature Verification System

Dinesh P. Mital, Choo Pee Hin, Wee Kee Leng

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The fine structure of the muscle forces that are exerted during the writing of a signature is consistent and well defined for most people. Based on this observation, an experimental system that utilizes a person's signature waveform dynamics for identification has been proposed. The system is intended to be used for online signature verification. It can successfully verify a person's identity and can also detect forgeries. The acceptance rate for random forgeries, i.e., accidental matching of two different persons’ signatures, is very low.

Original language	English (US)
Pages (from-to)	54-57
Number of pages	4
Journal	IEEE Control Systems Magazine
Volume	8
Issue number	3
DOIs	https://doi.org/10.1109/37.478
State	Published - Jun 1988
Externally published	Yes

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modeling and Simulation
Electrical and Electronic Engineering

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10.1109/37.478

Cite this

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title = "Computerized Signature Verification System",

abstract = "The fine structure of the muscle forces that are exerted during the writing of a signature is consistent and well defined for most people. Based on this observation, an experimental system that utilizes a person's signature waveform dynamics for identification has been proposed. The system is intended to be used for online signature verification. It can successfully verify a person's identity and can also detect forgeries. The acceptance rate for random forgeries, i.e., accidental matching of two different persons{\textquoteright} signatures, is very low.",

author = "Mital, {Dinesh P.} and Hin, {Choo Pee} and Leng, {Wee Kee}",

year = "1988",

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AB - The fine structure of the muscle forces that are exerted during the writing of a signature is consistent and well defined for most people. Based on this observation, an experimental system that utilizes a person's signature waveform dynamics for identification has been proposed. The system is intended to be used for online signature verification. It can successfully verify a person's identity and can also detect forgeries. The acceptance rate for random forgeries, i.e., accidental matching of two different persons’ signatures, is very low.

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Computerized Signature Verification System

Abstract

All Science Journal Classification (ASJC) codes

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