Journal ArticleDOI
An efficient offline signature identification method based on Fourier Descriptor and chain codes
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TLDR
A novel offline signature identification method based on Fourier Descriptor (FD) and Chain Codes features and a multilayer feed forward artificial neural network is proposed.Abstract:
This paper proposes a novel offline signature identification method based on Fourier Descriptor (FD) and Chain Codes features. Signature identification was classified into two different problems: recognition and verification. In recognition process, we used Principle Component Analysis. In verification process, we designed a multilayer feed forward artificial neural network. The main steps of constructing a signature identification system are discussed and experiments on real data sets show that the average error rate can reach 3.8%.read more
Citations
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Proceedings ArticleDOI
Off-line signature verification based on chain code histogram and Support Vector Machine
R. K. Bharathi,B. H. Shekar +1 more
TL;DR: An approach based on chain code histogram features enhanced through Laplacian of Gaussian filter for off-line signature verification and to reveal its accuracy over the existing approaches is presented.
Proceedings ArticleDOI
Off-line signature verification systems: a survey
TL;DR: In order to convey the state-of-the-art in the field to researchers, in this paper a survey of off-line signature verification systems is presented.
Signature Verification Using Morphological Features Based on Artificial Neural Network
TL;DR: Off-line signature recognition & verification using neural network is proposed, where the signature is captured and presented to the user in an image format and a Feed Forward Neural Network will be used for verifying signatures and to determine its accuracy.
Automatic Off-line Signature Verification Systems: A Review
TL;DR: A survey of off-line signature verification systems is presented in order to convey the state-of-the-art in the field to researchers and in this paper the results show an explosive growth in biometric personal authentication systems.
Journal ArticleDOI
Signature identification and verification techniques: state-of-the-art work
Harmandeep Kaur,Munish Kumar +1 more
TL;DR: An extensive systematic overview of online and offline signature identification and verification techniques in offline signature verification, surveys related to two approaches, namely, writer-dependent, and writer-independent approaches are presented.
References
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Book ChapterDOI
An on-line signature verification system based on fusion of local and global information
TL;DR: It is shown experimentally that the machine expert based on local information outperforms the system based on global analysis when enough training data is available and it is found that global analysis is more appropriate in the case of small training set size.
Proceedings ArticleDOI
Off-line signature verification using HMM for random, simple and skilled forgeries
TL;DR: The experiments have shown that the error rates of the simple and random forgery signatures are very closed, and this reflects the real applications in which the simple forgeries represent the principal fraudulent case.