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Offline handwritten signature verification — Literature review [PDF]

open access: yes2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
The area of Handwritten Signature Verification has been broadly researched in the last decades, but remains an open research problem. The objective of signature verification systems is to discriminate if a given signature is genuine (produced by the claimed individual), or a forgery (produced by an impostor).
Luiz G. Hafemann   +2 more
openaire   +5 more sources

Graph-Based Offline Signature Verification [PDF]

open access: yesCoRR, 2019
Graphs provide a powerful representation formalism that offers great promise to benefit tasks like handwritten signature verification. While most state-of-the-art approaches to signature verification rely on fixed-size representations, graphs are flexible in size and allow modeling local features as well as the global structure of the handwriting.
Maergner, Paul   +4 more
core   +4 more sources

Offline Signature Identification and Verification Based on Capsule Representations

open access: yesCybernetics and Information Technologies, 2020
Offline signature is one of the frequently used biometric traits in daily life and yet skilled forgeries are posing a great challenge for offline signature verification. To differentiate forgeries, a variety of research has been conducted on hand-crafted
Gumusbas Dilara, Yildirim Tulay
doaj   +2 more sources

Offline Signature Verification on Real-World Documents [PDF]

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
Research on offline signature verification has explored a large variety of methods on multiple signature datasets, which are collected under controlled conditions. However, these datasets may not fully reflect the characteristics of the signatures in some practical use cases.
Deniz Engin   +3 more
openaire   +2 more sources

ENHANCED SCHEME FOR HANDWRITTEN OFFLINE SIGNATURE VERIFICATION [PDF]

open access: yes, 2021
Handwritten Signature Verification is a broad area. It has been broadly researched in the last decades but there is an open research problem. There are some possibilities to improve the results.
Mrs. Rutuja M. Shinde   +1 more
core   +2 more sources

Offline Signature Biometric Verification with Length Normalization using Convolution Neural Network

open access: yesمجلة بغداد للعلوم, 2022
Offline handwritten signature is a type of behavioral biometric-based on an image. Its problem is the accuracy of the verification because once an individual signs, he/she seldom signs the same signature.
Zahraa Mazin Alkattan   +1 more
doaj   +1 more source

A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and HOG a Multi-Classification Approach

open access: yesIEEE Access, 2023
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 calibration of the features that are extracted determine how well ...
Fadi Mohammad Alsuhimat   +1 more
doaj   +1 more source

Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents [PDF]

open access: yes, 2010
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C.   +3 more
core   +1 more source

Graph Embedding for Offline Handwritten Signature Verification [PDF]

open access: yesProceedings of the 2019 3rd International Conference on Biometric Engineering and Applications, 2019
Due to the high availability and applicability, handwritten signatures are an eminent biometric authentication measure in our life. To mitigate the risk of a potential misuse, automatic signature verification tries to distinguish between genuine and forged signatures.
Michael Stauffer   +3 more
openaire   +3 more sources

Offline Handwritten Text Recognition and Signature Verification [PDF]

open access: yes, 2021
Offline Handwritten Text Recognition (HTR) is one of the most interesting challenges in today's date in the field of Image processing. This paper introduces a novel technique to recognize the handwritten text by using Convolutional Recurrent Neural Network along with Connectionist Temporal Classification.
Rehaan Sajjad Arai   +4 more
openaire   +1 more source

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