DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning …
Identifying and verifying the identity of people based on scanned images of handwritten
documents is an applicable biometric modality with applications in forensic and historic …
documents is an applicable biometric modality with applications in forensic and historic …
Forgery-free signature verification with stroke-aware cycle-consistent generative adversarial network
In recent years, the performance of handwritten signature verification (HSV) has been
considerably improved by deep learning methods. However, deep HSV still faces significant …
considerably improved by deep learning methods. However, deep HSV still faces significant …
Offline signature verification system: a graph neural network based approach
Recent years have witnessed the surge of graph neural networks (GNNs) in various
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …
research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to …
An effective DeepWINet CNN model for off-line text-independent writer identification
Writer identification based on handwriting recognition is considered one of the most
common research areas in pattern recognition and biometrics. It has attracted much …
common research areas in pattern recognition and biometrics. It has attracted much …
Offline writer identification using a developed deep neural network based on a novel signature dataset
Signature is used as an important, typical means of identification in banking, security
controls, certificates, and contracts. Moreover, it has an intensive role in legal issues that …
controls, certificates, and contracts. Moreover, it has an intensive role in legal issues that …
A new synthetic feature generation scheme based on artificial immune systems for robust offline signature verification
Identity verification based on offline handwritten signatures is required in various financial
and administrative domains using paper documents. Commonly, the performance of …
and administrative domains using paper documents. Commonly, the performance of …
The self-adaptive dwarf mongoose optimized bidirectional network approach for enhanced recognition of overlapped English cursive characters
Automated text recognition systems play a significant role in converting unstructured
documents into machine-readable formats, thereby reducing paper usage and creating a …
documents into machine-readable formats, thereby reducing paper usage and creating a …
Writer-independent online signature verification based on 2D representation of time series data using triplet supervised network
L Xie, Z Wu, X Zhang, Y Li, X Wang - Measurement, 2022 - Elsevier
Online signature verification (OSV) as a critical link of the paperless office still has
tremendous challenges. In this paper, we propose a novel Writer-Independent (WI) OSV …
tremendous challenges. In this paper, we propose a novel Writer-Independent (WI) OSV …
Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification
The human handwritten signature is considered to be a significant biometric trait. In the case
of offline signatures, the problem is addressed as an image recognition task. On the other …
of offline signatures, the problem is addressed as an image recognition task. On the other …
[PDF][PDF] Off Sig-Sin GAN: A Deep Learning-Based Image Augmentation Model for Offline Signature Verification
Offline signature verification (OfSV) is essential in preventing the falsification of documents.
Deep learning (DL) based OfSVs require a high number of signature images to attain …
Deep learning (DL) based OfSVs require a high number of signature images to attain …