Results 81 to 90 of about 445 (189)

Offline signature identification via HOG features and artificial neural networks [PDF]

, 2017
In this work, an offline signature identification system based on Histogram of Oriented Gradients (HOG) vector features is designed. Handwritten signature images are collected at Yildiz Technical University, from 15 people, 40 samples from each.
Zehra Gulru Cam, Cam, Zehra Gülru, Taşkıran, Murat, Murat Taskiran   +3 more
core   +1 more source

Offline Signature Verification Based on Pseudo-Cepstral Coefficients [PDF]

, 2009
Features representing information about pressure distribution from a static image of a handwritten signature are analyzed for an offline verification system.
C.M. Travieso, Ferrer, Miguel A., Travieso, Carlos M., Alonso, Jesus B., J.B. Alonso, J.F. Vargas, M.A. Ferrer, Vargas, Jesus F.   +7 more
core   +1 more source

A white-box false positive adversarial attack method on contrastive loss based offline handwritten signature verification models [PDF]

In this paper, we tackle the challenge of white-box false positive adversarial attacks on contrastive loss based offline handwritten signature verification models.
Qian, Yifei, Guo, Zhongliang, Li, Weiye, Fang, Lei, Arandelovic, Ognjen   +4 more
core   +8 more sources

Embedding Riemannian Collective Background Knowledge for Offline Signature Verification

Machine Learning and Knowledge Extraction
While handwritten signatures are a staple of biometric authentication, conventional verification models typically rely on Euclidean space assumptions, restricting the capture of complex, intrinsic signature structures.
Evangelos Mitikas, Christos Chorianopoulos, Elias Zois   +2 more
doaj   +1 more source

Handwritten Signature Generation Using Denoising Diffusion Probabilistic Models with Auxiliary Classification Processes

Applied Sciences
Automatic signature verification has been widely studied for authentication purposes in real life, but limited data availability still poses a significant challenge.
Dong-Jin Hong, Won-Du Chang, Eui-Young Cha   +2 more
doaj   +1 more source

Reissuable Biometrics Through Offline Handwritten Signature Verification [PDF]

, 2008
In this thesis, an ffline handwritten verification system is proposed. The system canbe viewed in image acquisition and preprocessing module, enrolment and verification modules.
Ooi, Shih Yin
core  

A New Approach for High Pressure Pixel Polar Distribution on Off-line Signature Verification

TecnoLógicas, 2010
Features representing information of High Pressure Points froma static image of a handwritten signature are analyzed for an offline verification system. From grayscale images, a new approach for High Pressure threshold estimation is proposed. Two images,
Jesús F. Vargas, Miguel A. Ferrer, Carlos M. Travieso, Jesús B. Alonso   +3 more
doaj  

Research on Detecting AI-Generated Forged Handwritten Signatures via Data-Efficient Image Transformers

IEEE Access
Handwritten signature verification, a behavioral physiological biometric, is widely accepted in legal and social practices. However, the advent of artificial intelligence (AI) and its application in handwriting synthesis, known as AI-generated content ...
Yanli Hao, Zuyang Zheng
doaj   +1 more source

Off line Handwritten Signature Recognition based on Fusion of Global and GLCM Features Using Fuzzy Logic

مجلة علوم ذي قار, 2019
Signature is widely used and developed area of research for personal verification and authentication. In this paper, we present a new offline handwritten signature recognition system based on fusion of global and GLCM (Grey Level Co-occurrence Matrix ...
Zamen F. Jabur
doaj  

AI-Driven Forgery Detection in Offline Handwriting Signatures: Advances, Challenges, and the Role of Generative Adversarial Networks

Journal of Computing Research and Innovation
Handwriting-based authentication continues to be a critical element in forensic analysis, particularly in the context of document fraud and signature forgery. Although deep learning (DL) techniques have shown promising results, there are still obstacles
Safura Adeela Sukiman, Nor Azura Husin, Hazlina Hamdan, Masrah Azrifah Azmi Murad   +3 more
doaj   +1 more source