Machine learning-based offline signature verification systems: A systematic review
The offline signatures are the most widely adopted biometric authentication techniques in
banking systems, administrative and financial applications due to its simplicity and …
banking systems, administrative and financial applications due to its simplicity and …
Signature identification and verification techniques: state-of-the-art work
Signature identification and verification are some of the biometric systems used for personal
identification. Signatures can be considered as authentication of an individual by the …
identification. Signatures can be considered as authentication of an individual by the …
A Recurrent Neural Network based deep learning model for offline signature verification and recognition system
R Ghosh - Expert Systems with Applications, 2021 - Elsevier
With the recent advancement in information technology field, the demand to develop a
person authentication system through verifying their offline signatures is gradually …
person authentication system through verifying their offline signatures is gradually …
CBCapsNet: A novel writer-independent offline signature verification model using a CNN-based architecture and capsule neural networks
Offline Signature verification is a biometric method with important applications in financial,
legal and administrative procedures. The verification process includes comparing the …
legal and administrative procedures. The verification process includes comparing the …
Offline signature verification using a region based deep metric learning network
L Liu, L Huang, F Yin, Y Chen - Pattern Recognition, 2021 - Elsevier
Handwritten signature verification is a widely used biometric for person identity
authentication in document forensics. Despite the tremendous efforts in past research, offline …
authentication in document forensics. Despite the tremendous efforts in past research, offline …
Offline signature verification using deep neural network with application to computer vision
Biometric technologies, such as handwritten signature verification, are extremely useful for
identifying individuals inside an organization or finance department. The improvement of …
identifying individuals inside an organization or finance department. The improvement of …
A new wrapper feature selection method for language-invariant offline signature verification
D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
From text to signatures: Knowledge transfer for efficient deep feature learning in offline signature verification
Handwritten signature is a common biometric trait, widely used for confirming the presence
or the consent of a person. Offline Signature Verification (OSV) is the task of verifying the …
or the consent of a person. Offline Signature Verification (OSV) is the task of verifying the …
Deep learning-based data augmentation method and signature verification system for offline handwritten signature
Offline handwritten signature verification is a challenging pattern recognition task. One of the
most significant limitations of the handwritten signature verification problem is inadequate …
most significant limitations of the handwritten signature verification problem is inadequate …
Combinatorial learning of graph edit distance via dynamic embedding
Abstract Graph Edit Distance (GED) is a popular similarity measurement for pairwise graphs
and it also refers to the recovery of the edit path from the source graph to the target graph …
and it also refers to the recovery of the edit path from the source graph to the target graph …