Towards a novel biometric system for forensic document examination
Biometric systems have demonstrated an important enhancement in writer identification from
online handwriting. Indeed, writer identification is still a challenging task in the definition of a …
online handwriting. Indeed, writer identification is still a challenging task in the definition of a …
Combining multiple features for text-independent writer identification and verification
M Bulacu, L Schomaker - Tenth International Workshop on …, 2006 - inria.hal.science
In recent years, we proposed a number of new and very effective features for automatic
writer identification and verification. They are probability distribution functions (PDFs) …
writer identification and verification. They are probability distribution functions (PDFs) …
Writer identification using curvature-free features
S He, L Schomaker - Pattern Recognition, 2017 - Elsevier
Feature engineering takes a very important role in writer identification which has been
widely studied in the literature. Previous works have shown that the joint feature distribution …
widely studied in the literature. Previous works have shown that the joint feature distribution …
Offline text-independent writer identification using stroke fragment and contour based features
Y Tang, X Wu, W Bu - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
This paper proposes a novel approach for offline text-independent writer identification. The
proposed approach extracts two new features: Stroke Fragment Histogram (SFH) and Local …
proposed approach extracts two new features: Stroke Fragment Histogram (SFH) and Local …
Deep neural network for online writer identification using beta-elliptic model
The online writer identification is a required component in many applications of Computer
vision and Pattern Recognition. The offline writer identification is more developed in …
vision and Pattern Recognition. The offline writer identification is more developed in …
Cross multi-scale locally encoded gradient patterns for off-line text-independent writer identification
Writer identification is experiencing a revival of activity in recent years and continues to
attract great deal of attention as a challenging and important area of research in the field of …
attract great deal of attention as a challenging and important area of research in the field of …
Text independent writer recognition using redundant writing patterns with contour-based orientation and curvature features
We propose an effective method for automatic writer recognition from unconstrained
handwritten text images. Our method relies on two different aspects of writing: the presence …
handwritten text images. Our method relies on two different aspects of writing: the presence …
[HTML][HTML] A texture-based approach for offline writer identification
T Bahram - Journal of King Saud University-Computer and …, 2022 - Elsevier
Offline handwriting has become a very important part in the field of behavioral biometrics. In
this paper, we proposed an approach to identify writers from their handwritten documents …
this paper, we proposed an approach to identify writers from their handwritten documents …
[PDF][PDF] Arabic Handwriting Classification using Deep Transfer Learning Techniques.
AA Almisreb, N Md Tahir, S Turaev… - Pertanika Journal of …, 2022 - researchgate.net
Arabic handwriting is slightly different from the handwriting of other languages; hence it is
possible to distinguish the handwriting written by the native or non-native writer based on …
possible to distinguish the handwriting written by the native or non-native writer based on …
Improved word-level handwritten indic script identification by integrating small convolutional neural networks
Handwritten document recognition has been an active domain of research in the field of
computer vision for several years since 1914 with the development of handheld scanner for …
computer vision for several years since 1914 with the development of handheld scanner for …