International Journal of Physical Sciences | |
Signature verification using rules 3-ext inductive learning system | |
Mehmet Sabih Aksoy1  | |
关键词: Inductive learning; signature verification; machine learning; image processing.; | |
DOI : 10.5897/IJPS11.370 | |
学科分类:物理(综合) | |
来源: Academic Journals | |
【 摘 要 】
This paper presents an alternative technique for “signature verification”. The technique employs template matching for feature extraction and Rules 3-ext inductive learning algorithm to extract the necessary set of rules and to verify a signature. 15 of 3 × 3 masks were used to represent a signature. Each signature (or pattern) is presented by the frequencies of the masks used. The system was trained using 144 signatures (16 signatures belonging to 9 different persons each). The system has been tested using many unseen signatures and the ability to correctly classify them was found to be 97%.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201902010843020ZK.pdf | 123KB | download |