1. A writer-independent off-line signature verification system based on signature morphology
- Author
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Bhabatosh Chanda, Rajesh Kumar, J. D. Sharma, and Kundu Lopamudra
- Subjects
Similarity (geometry) ,Receiver operating characteristic ,business.industry ,Computer science ,Inference ,Word error rate ,Pattern recognition ,computer.software_genre ,Signature (logic) ,Set (abstract data type) ,Support vector machine ,Multilayer perceptron ,Data mining ,Artificial intelligence ,business ,computer - Abstract
In this work, we address off-line signature verification as a writer-independent system. We propose a set of morphological features, extracted from off-line signature images. To examine the effectiveness of the features, a publicly available signature database, namely CEDAR signature database is used. A pair of signatures is fed to the system to give an inference for their (dis)similarity. To get a compact set of features, a multilayer perceptron based feature analysis technique is utilized. A 10-fold cross-validation framework based on support vector machine is used for verification. Receiver operator curve (ROC) analysis gives an equal error rate (EER) of 11.59%, which is comparable to the state-of-the-arts reported on this database.
- Published
- 2010