Proceedings ArticleDOI
Handwritten signature recognition method based on fuzzy logic
Igor V. Anikin,Ellina S. Anisimova +1 more
- pp 1-5
Reads0
Chats0
TLDR
A method for handwritten signature recognition based on fuzzy logic based on comparing these fuzzy features of handwritten signature based on curvature properties with fuzzy values which are better than some other methods.Abstract:
We suggested a method for handwritten signature recognition based on fuzzy logic. First of all, we proposed some features of handwritten signature based on curvature properties with fuzzy values. Then we proposed a method for signature recognition based on comparing these fuzzy features. We used collection of signatures MCYT_Signature_100 for testing our method. Signature recognition experiment has been conducted with 100 users, 25 original and 25 fake signatures for each user. As a result, we have got FRR value 0.03 and FAR value 0.01 which are better than the results of some other methods.read more
Citations
More filters
Proceedings ArticleDOI
Signature recognition application based on deep learning
TL;DR: In this non-real-time signature recognition application, it has been tried to reduce the process load and memory requirement by using deep learning method by using convolutional neural network.
Proceedings ArticleDOI
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation
Celso A. M. Lopes Junior,Matheus Henrique Marques da Silva,Byron L. D. Bezerra,Bruno J. T. Fernandes,Donato Impedovo +4 more
TL;DR: In this paper, a fully convolutional encoder-decoder network combined with a block of refinement layers for the alpha channel of the predicted image was used to locate and extract the pixels of handwritten signatures on identification documents.
Posted Content
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation
Celso A. M. Lopes Junior,Matheus Henrique Marques da Silva,Byron L. D. Bezerra,Bruno J. T. Fernandes,Donato Impedovo +4 more
TL;DR: This work proposes an approach to locate and extract the pixels of handwritten signatures on identification documents, without any prior information on the location of the signatures, based on a fully convolutional encoder-decoder network combined with a block of refinement layers for the alpha channel of the predicted image.
Proceedings ArticleDOI
Finding a Rational Set of Features for Handwritten Signature Recognition
TL;DR: In this article, the authors proposed a model of handwritten signature, containing fuzzy features of curvature of discrete handwritten signature functions, and proposed handwritten signature reference template creation algorithm, characterized by the use of the potential method for constructing membership functions of fuzzy features.
Book ChapterDOI
Fuzzy Sets Theory Approach for Recognition Handwritten Signatures
E. S. Anisimova,I. V. Anikin +1 more
TL;DR: In this article, the authors proposed an approach for recognition handwritten signatures based on dynamics characteristics and fuzzy sets theory, which made it possible to recognize handwritten signatures even in case of their fuzzy character.
References
More filters
Book
Essentials of Fuzzy Modeling and Control
TL;DR: Essentials of Fuzzy Modeling and Control follows a logical, pedagogically consistent format designed to fully acquaint readers with the entire range of fuzzy concepts, tools, and modeling techniques.
Journal ArticleDOI
On-line signature verification
TL;DR: Experiments on a database containing a total of 1232 signatures of 102 individuals show that writer-dependent thresholds yield better results than using a common threshold.
Journal ArticleDOI
Identity authentication using improved online signature verification method
TL;DR: This work presents a system for online handwritten signature verification, approaching the problem as a two-class pattern recognition problem, and received the first place at SVC2004 with a 2.8% error rate.
Journal ArticleDOI
On-line signature verification using vertical signature partitioning
TL;DR: A new method for identity verification which uses partitioning using capabilities of fuzzy set theory and development on the basis of them the flexible neuro-fuzzy systems and interpretable classification system for final signature classification is proposed.
Journal ArticleDOI
New method for the on-line signature verification based on horizontal partitioning
TL;DR: This paper presents the simulation results of the proposed method which uses partitioning for verification of identity based on the analysis of dynamic signatures for the two databases: SVC2004 and BioSecure Database.