A multifaceted role of biometrics in online security, privacy, and trustworthy decision making

ML Gavrilova, F Anzum, ASM Hossain Bari… - Breakthroughs in digital …, 2022 - Springer
Automatic decision-making, especially when dealing with crucial cybersecurity and privacy
issues, has become one of the key directions in digital identity research. Trustworthy human …

DeepNet-WI: a deep-net model for offline Urdu writer identification

ST Nabi, M Kumar, P Singh - Evolving Systems, 2024 - Springer
Since the dawn of civilization, handwriting has been one of the most important forms of
communication. However, as handwriting differs from person to person, writer identification …

Writer Identification: Deep Learning with ResNet50 for Offline Urdu Handwritten Documents

ST Nabi, P Singh, M Kumar - 2023 Seventh International …, 2023 - ieeexplore.ieee.org
The field of writer identification, a crucial aspect of document analysis, has undergone a
significant evolution through the incorporation of deep learning models. This paper presents …

Writer Identification from Offline Handwriting Images in Urdu Script with Dense-Net: A Deep Learning Approach

ST Nabi, P Singh, M Kumar - 2023 14th International …, 2023 - ieeexplore.ieee.org
Handwriting serves as a valuable tool in various organizational processes, such as
recruitment, interviewing, team-building, counseling, and career planning. Even identical …

Detection of soybean mildew infection at early stage based on optical coherence tomography and deep learning methods

Y Liang, Y Zhou - Optical Review, 2023 - Springer
Soybean can be easily contaminated by Aspergillus flavus which can generate toxigenic
and endanger human life and health. Due to the difficulty in detecting moldy phenomena at …

[HTML][HTML] Artificial Neural Network Computational Techniques in Biometric Handwriting

JL Vásquez-Vasquez… - Biometrics and …, 2024 - intechopen.com
This study presents a novel methodology that combines the power of multilayer perceptron
(MLP) neural networks with validated graphometry approaches for individual identification …