Identifikasi Tanda Tangan dengan Ekstraksi Ciri GLCM dan LBP
Signature identification with extraction features of GLCM (The Gray Level Co-occurrence Matrix) and LBP (The Local Binary Pattern) compare the results of both accuracy. By using signatures from 15 people, each of which has 10 signatures. For the training data, 7 signatures from each person were take...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya
2019-04-01
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| Series: | Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) |
| Online Access: | https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/545 |