Results 161 to 170 of about 445 (189)
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Offline Handwritten Signature Identification and Verification Using Contourlet Transform
2009 International Conference of Soft Computing and Pattern Recognition, 2009In this paper, a new offline handwritten signature identification and verification system based on Contourlet transform is proposed. Contourlet transform (CT) is used as feature extractor in proposed system. Signature image is enhanced by removing noise and then it is normalized by size.
Muhammad Reza Pourshahabi +2 more
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Offline handwritten signature verification using local and global features
Annals of Mathematics and Artificial Intelligence, 2014This paper presents a new approach to address the problem of offline handwritten signature verification. In contrast to many existing systems, we are interested in making soft decision rather than a purely binary classification for the signatures under verification.
The Anh Pham 0001 +2 more
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Learning Vector Quantisation based recognition of offline handwritten signatures
International Journal of Biometrics, 2012Biometrics, which refers to the identification of an individual based on his or her physiological or behavioural characteristics, has the capability to reliably distinguish between an authorised person and an imposter. This paper presents a low-cost and high-speed Artificial Neural Network (ANN) based offline recognition system of handwritten ...
Gulzar A. Khuwaja +1 more
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Siamese Networks With Attention for User-Independent Offline Handwritten Signature Verification
2023 International Conference on Cyberworlds (CW), 2023Mohamed Ali Mahjoub
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On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification
2019 International Joint Conference on Neural Networks (IJCNN), 2019When compared to Writer-Dependent (WD) Handwritten Signature Verification, in which a model is trained for each individual writer, the Writer-Independent (WI) approach offers greater scalability, since only a single model is trained for all users from a dissimilarity space generated by the dichotomy transformation.
Victor L. F. Souza +3 more
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A multiple feature-based offline handwritten signature verification system
International Journal of Computer Applications in Technology, 2019This paper proposes an efficient technique to develop an automated offline signature verification system that could help in crime prevention and biometric authentication systems. The technique proposed makes use of direction-based methods to compute a set of features that are taken together as a combination.
Akriti Nigam +3 more
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Performance Analysis of Classifiers on Offline Handwritten Signatures
2018 International Conference on Networking, Embedded and Wireless Systems (ICNEWS), 2018Signatures is one of the popular biometric that depicts or reveals the attribute of humans which are extensively being used to authorize and authenticate day to day needs. Signatures play a very crucial role since they are the most critical piece of information that are used by humans for financial and commercial applications and legal transactions ...
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Offline Handwritten Signature Recognition Method Based on Multifeatures
Journal of Convergence Information Technology, 2013This paper studies the off-line handwritten signature recognition technology and fusion strategy, proposes a fusion identification method. The skeleton and four corner features are extracted, BP neural network is used to identify true and false signature. The edge feature is extracted, Euclidean distance is adopted to recognize true and false signature.
Yongmei Zhang - +2 more
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Multilingual Offline Handwritten Signature Recognition Based on Statistical Features
2018Signature recognition is an identity authentication method widely used in various fields such as finance, judiciary, banking, insurance so on, and it plays an important role in society as a behavioral trait. In order to improve the accuracy of multilingual off-line handwritten signature recognition, this paper was proposed the high-dimensional ...
Kurban Ubul +4 more
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Offline handwritten signature recognition based on generative adversarial networks
International Journal of Biometricsexaly +2 more sources