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 …
Benchmarking chinese text recognition: Datasets, baselines, and an empirical study
The flourishing blossom of deep learning has witnessed the rapid development of text
recognition in recent years. However, the existing text recognition methods are mainly …
recognition in recent years. However, the existing text recognition methods are mainly …
[HTML][HTML] Interpol questioned documents review 2019–2022
M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …
general areas of research in the field of Forensic Handwriting/Forensic Document …
Design and implementation of deep learning based contactless authentication system using hand gestures
Hand gestures based sign language digits have several contactless applications.
Applications include communication for impaired people, such as elderly and disabled …
Applications include communication for impaired people, such as elderly and disabled …
Offline handwritten signature verification using deep neural networks
Prior to the implementation of digitisation processes, the handwritten signature in an
attendance sheet was the preferred way to prove the presence of each student in a …
attendance sheet was the preferred way to prove the presence of each student in a …
A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and HOG a Multi-Classification Approach
FM Alsuhimat, FS Mohamad - IEEE Access, 2023 - ieeexplore.ieee.org
The offline signature verification system's feature extraction stage is regarded as crucial and
has a significant impact on how well these systems perform because the quantity and …
has a significant impact on how well these systems perform because the quantity and …
[HTML][HTML] Feature selection method based on quantum inspired genetic algorithm for Arabic signature verification
The signature is a behavioral-based human characteristics that is extensively used as legal
evidence of identification on bank checks, credit cards, and wills. Developing a good offline …
evidence of identification on bank checks, credit cards, and wills. Developing a good offline …
[PDF][PDF] Forged character detection datasets: passports, driving licences and visa stickers
Forged documents specifically passport, driving licence and VISA stickers are used for fraud
purposes including robbery, theft and many more. So detecting forged characters from …
purposes including robbery, theft and many more. So detecting forged characters from …
Stroke-based autoencoders: Self-supervised learners for efficient zero-shot Chinese character recognition
Z Chen, W Yang, X Li - Applied Sciences, 2023 - mdpi.com
Chinese characters carry a wealth of morphological and semantic information; therefore,
zero-shot Chinese character recognition with the morphology of Chinese characters has …
zero-shot Chinese character recognition with the morphology of Chinese characters has …
Offline signature verification using long short-term memory and histogram orientation gradient
FM Alsuhimat, FS Mohamad - Bulletin of Electrical Engineering and …, 2023 - beei.org
The signing process is a critical step that organizations take to ensure the confidentiality of
their data and to safeguard it against unauthorized penetration or access. Within the last …
their data and to safeguard it against unauthorized penetration or access. Within the last …