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Writer verification of partially damaged handwritten Arabic documents based on individual character shapes [PDF]

open access: yesPeerJ Computer Science, 2022
Author verification of handwritten text is required in several application domains and has drawn a lot of attention within the research community due to its importance.
Majid A. Khan   +4 more
doaj   +3 more sources

A hybrid machine learning framework for offline signature verification using gray wolf optimization [PDF]

open access: yesScientific Reports
Handwritten signature verification is one of the frequently used biometric in administrative, financial, legal, and similar scenarios to verify the identity of a person.
Nemi Chandra Rathore   +4 more
doaj   +2 more sources

Relative position matrix and multi-scale feature fusion for writer-independent online signature verification [PDF]

open access: yesHeliyon
Online signature verification (OSV) is widely used in finance, law and other fields, and is one of the important research projects on biological characteristics.
Fangjun Luan, Weiyi Cao, Shuai Yuan
doaj   +2 more sources

SignatureGuard: hybrid CNN–transformer model for signature verification and identification across Arabic and English datasets [PDF]

open access: yesScientific Reports
Offline signature verification has a persistent Latin-script bias: most systems are built and evaluated on English datasets, while Arabic and other non-Latin scripts are largely absent from the benchmarking literature.
Mazen Balat   +4 more
doaj   +2 more sources

Hybrid writer‐independent–writer‐dependent offline signature verification system

open access: yesIET Biometrics, 2013
Standard signature verification (SV) systems are writer‐dependent (WD), where a specific classifier is designed for each individual. It is inconvenient to ask a user to provide enough number of signature samples to design his WD classifier. In practice, very few samples are collected and inaccurate classifiers maybe produced.
Eric Granger, Robert Sabourin
exaly   +3 more sources

Short Words for Writer Identification Using Neural Networks

open access: yesApplied Sciences, 2023
In biometrics, it is desirable to distinguish a person using only a short sample of his handwriting. This problem is treated in the present work using only a short word with three letters.
Georgia Koukiou
doaj   +1 more source

A statistical model for writer verification [PDF]

open access: yesEighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
A statistical model for determining whether a pair of documents, a known and a questioned, were written by the same individual is proposed. The model has the following four components: (i) discriminating elements, e.g., global features and characters, are extracted from each document; (ii) differences between corresponding elements from each document ...
S.N. Srihari   +4 more
openaire   +2 more sources

A Thresholded Gabor-CNN Based Writer Identification System for Indic Scripts

open access: yesIEEE Access, 2021
Writer identification is the procedure of identifying individuals from handwriting. Writer identification is a common interest in biometric authentication and verification systems, and numerous studies are available for English, Chinese, Arabic, and ...
M. F. Mridha   +5 more
doaj   +1 more source

Writer Verification of Historical Documents among Cohort Writers [PDF]

open access: yes2010 12th International Conference on Frontiers in Handwriting Recognition, 2010
Over the last century forensic document science has developed progressively more sophisticated pattern recognition methodologies for ascertaining the authorship of disputed documents. We present a writer verification method and an evaluation of its performance on historical documents with known and unknown writers.
Gregory R. Ball   +2 more
openaire   +2 more sources

Attention based Writer Independent Verification [PDF]

open access: yes2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2020
The task of writer verification is to provide a likelihood score for whether the queried and known handwritten image samples belong to the same writer or not. Such a task calls for the neural network to make it's outcome interpretable, i.e. provide a view into the network's decision making process.
Mohammad Abuzar Shaikh   +3 more
openaire   +1 more source

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