An Empirical Study on Writer Identification and Verification From Intra-Variable Individual Handwriting
The handwriting of a person may vary substantially with factors, such as mood, time, space,
writing speed, writing medium/tool, writing a topic, and so on. It becomes challenging to …
writing speed, writing medium/tool, writing a topic, and so on. It becomes challenging to …
Text-independent writer identification via CNN features and joint Bayesian
Y Tang, X Wu - … 15th International Conference on Frontiers in …, 2016 - ieeexplore.ieee.org
This paper proposes a novel method for offline text-independent writer identification by
using convolutional neural network (CNN) and joint Bayesian, which consists of two stages …
using convolutional neural network (CNN) and joint Bayesian, which consists of two stages …
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) …
Chinese character-level writer identification using path signature feature, DropStroke and deep CNN
W Yang, L Jin, M Liu - 2015 13th International Conference on …, 2015 - ieeexplore.ieee.org
Most existing online writer-identification systems require that the text content is supplied in
advance and rely on separately designed features and classifiers. The identifications are …
advance and rely on separately designed features and classifiers. The identifications are …
A method for automatic classification of gender based on text-independent handwriting
Handwriting recognition is used for the prediction of various demographic traits such as age,
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …
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 …
Deepwriterid: An end-to-end online text-independent writer identification system
W Yang, L Jin, M Liu - IEEE Intelligent Systems, 2016 - ieeexplore.ieee.org
The rapid adoption of touchscreen mobile terminals and pen-based interfaces has
increased the demand for handwriting-based writer identification systems, particularly in the …
increased the demand for handwriting-based writer identification systems, particularly in the …
[PDF][PDF] Neural networks and support vector machines classifiers for writer identification using Arabic script.
In this paper, we present an approach for writer identification carried out using off-line Arabic
handwriting. Our proposed method is based on the combination of global and structural …
handwriting. Our proposed method is based on the combination of global and structural …
Block wise local binary count for off-line text-independent writer identification
Feature engineering is fundamental in applied machine learning. It plays a major role in
writer identification of handwritten documents, which has been an active area of research in …
writer identification of handwritten documents, which has been an active area of research in …
Writer identification of Chinese handwriting documents using hidden Markov tree model
Handwriting-based writer identification, a branch of biometrics, is an active research topic in
pattern recognition. Since most existing methods and models aim to on-line and/or text …
pattern recognition. Since most existing methods and models aim to on-line and/or text …