Freeman chain code (FCC) representation in signature fraud detection based on nearest neighbour and artificial neural network (ANN) classifiers.
This paper presents a signature verification system that used Freeman Chain Code (FCC) as directional feature and data representation. There are 47 features were extracted from the signature images from six global features. Before extracting the features, the raw images were undergoing pre-processin...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 出版事項: |
IJIP
2014
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/59760/ |
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