| Project/Area Number |
10650380
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報通信工学
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| Research Institution | Science University of Tokyo |
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Principal Investigator |
HANGAI Seiichiro Science University of Tokyo, Dept.of Electrical Eng., Associate Professor, 工学部, 助教授 (70147510)
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| Co-Investigator(Kenkyū-buntansha) |
HAMAMOTO Takayuki Science University of Tokyo, Dept.of Electrical Eng., Research Associate, 工学部, 助手 (10297624)
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| Project Period (FY) |
1998 – 1999
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| Project Status |
Completed (Fiscal Year 1999)
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| Budget Amount *help |
¥3,300,000 (Direct Cost: ¥3,300,000)
Fiscal Year 1999: ¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1998: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | Writer verification / Signature verification / Identification / Online processing / Tablet |
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| Research Abstract |
In this research, we investigated a new on-line signature verification method. which uses the pen movement. We adopt altitude and direction variation of pen movement as parameter to extract the individuality of signatures. All signature data obtained by the tablet are preprocessed. They are normalized by the length of writing duration, which is decided by magnitude of the pen pressure. In the following experiments, we use three data sets, they are pen movement, shape of signature and writing pressure.
In general, there is some fluctuations of the data set in the time-axis when a person writes his signatures. We compare the results of normal linear matching method and the DP matching method. In our method, the correct verification rate is independently evaluated by using each of three data sets which are pen movement, shape of signature and writing pressure. The correct verification rate is decided by the point where the accepted percentage of genuine signatures and the rejected percentage of mimicked signatures are balanced.
From experimental results with 24 writers, following verification rates are obtained.
1)linear matching method
shape of signature : 72.4% / writing pressure : 77.0% / pen movement : 90.3%
2)DP matching method
shape of signature : 73.2% / writing pressure : 79.9% / pen movement : 91.3%
Although most of conventional signature verification methods utilize the signature shape and writing pressure, it is verified that the pen movement with DP matching is very effective compared to such parameters.
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