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All Journal Majalah Ilmiah Teknologi Elektro Majalah Ilmiah Teknologi Elektro
A. A. Kompyang Sudana
Universitas Udayana
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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SISTEM VERIFIKASI CITRA TANDATANGAN DENGAN METODE POLA BUSUR TERLOKALISASI A. A. Kompyang Sudana
Jurnal Teknologi Elektro Vol 5 No 2 (2006): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

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Abstract

Signature is used as a proof of one’s ratification. This important purpose cause attempts of falsifying the signature. Falsifying signature is relatively simple, because most verification was done manually only by comparing the form of each signature with the originals. It’s even worse since most verification examiner are tired of the boring verification continuously, that’s why the manual signature verification result is found less satisfying. To overcome the weaknesses of this manual verification, this thesis proposes a computerized verification system forLatinos signature, which feature of signature extracted by Localized Arc Pattern Methods according to model pattern of Indonesian signature, which seeks appearance frequency the model pattern of inputted signature image. This feature achieved than compared to the previous reference signature. This comparison yields the dissimilarity value, which is used to define whether the signature is accepted or rejected through a critical value comparison. The experiment achieved an error rate of 9.696%.
SISTEM VERIFIKASI CITRA TANDATANGAN DENGAN METODE POLA BUSUR TERLOKALISASI A. A. Kompyang Sudana
Jurnal Teknologi Elektro Vol 5 No 2 (2006): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Signature is used as a proof of one’s ratification. This important purpose cause attempts of falsifying the signature. Falsifying signature is relatively simple, because most verification was done manually only by comparing the form of each signature with the originals. It’s even worse since most verification examiner are tired of the boring verification continuously, that’s why the manual signature verification result is found less satisfying. To overcome the weaknesses of this manual verification, this thesis proposes a computerized verification system forLatinos signature, which feature of signature extracted by Localized Arc Pattern Methods according to model pattern of Indonesian signature, which seeks appearance frequency the model pattern of inputted signature image. This feature achieved than compared to the previous reference signature. This comparison yields the dissimilarity value, which is used to define whether the signature is accepted or rejected through a critical value comparison. The experiment achieved an error rate of 9.696%.
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