Signature Pattern Recognition using Kohonen Network
A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature patte...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Negeri Malang
2018-08-01
|
| Series: | Knowledge Engineering and Data Science |
| Online Access: | http://journal2.um.ac.id/index.php/keds/article/view/1720 |
| _version_ | 1818520378001063936 |
|---|---|
| author | Nadia Roosmalita Sari Moh. Zoqi Sarwani Yudha Alif Aulia Wayan Firdaus Mahmudy |
| author_facet | Nadia Roosmalita Sari Moh. Zoqi Sarwani Yudha Alif Aulia Wayan Firdaus Mahmudy |
| author_sort | Nadia Roosmalita Sari |
| collection | DOAJ |
| description | A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition. |
| first_indexed | 2024-12-11T01:36:35Z |
| format | Article |
| id | doaj.art-f22134feb7e74947bb8ec70d1d6381ce |
| institution | Directory Open Access Journal |
| issn | 2597-4602 2597-4637 |
| language | English |
| last_indexed | 2024-12-11T01:36:35Z |
| publishDate | 2018-08-01 |
| publisher | Universitas Negeri Malang |
| record_format | Article |
| series | Knowledge Engineering and Data Science |
| spelling | doaj.art-f22134feb7e74947bb8ec70d1d6381ce2022-12-22T01:25:12ZengUniversitas Negeri MalangKnowledge Engineering and Data Science2597-46022597-46372018-08-0112394510.17977/um018v1i22018p39-452516Signature Pattern Recognition using Kohonen NetworkNadia Roosmalita Sari0Moh. Zoqi Sarwani1Yudha Alif Aulia2Wayan Firdaus Mahmudy3(Scopus ID: Universitas Brawijaya)University of Merdeka Pasuruan/Universitas BrawijayaUniversitas BrawijayaUniversitas BrawijayaA signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition.http://journal2.um.ac.id/index.php/keds/article/view/1720 |
| spellingShingle | Nadia Roosmalita Sari Moh. Zoqi Sarwani Yudha Alif Aulia Wayan Firdaus Mahmudy Signature Pattern Recognition using Kohonen Network Knowledge Engineering and Data Science |
| title | Signature Pattern Recognition using Kohonen Network |
| title_full | Signature Pattern Recognition using Kohonen Network |
| title_fullStr | Signature Pattern Recognition using Kohonen Network |
| title_full_unstemmed | Signature Pattern Recognition using Kohonen Network |
| title_short | Signature Pattern Recognition using Kohonen Network |
| title_sort | signature pattern recognition using kohonen network |
| url | http://journal2.um.ac.id/index.php/keds/article/view/1720 |
| work_keys_str_mv | AT nadiaroosmalitasari signaturepatternrecognitionusingkohonennetwork AT mohzoqisarwani signaturepatternrecognitionusingkohonennetwork AT yudhaalifaulia signaturepatternrecognitionusingkohonennetwork AT wayanfirdausmahmudy signaturepatternrecognitionusingkohonennetwork |