Review of age and gender detection methods based on handwriting analysis
Handwriting recognition and analysis has been an active area of research in the last two
decades. Handwriting analysis is being studied in various fields of science, such as …
decades. Handwriting analysis is being studied in various fields of science, such as …
A survey of visual and procedural handwriting analysis for neuropsychological assessment
Abstract To date, Artificial Intelligence systems for handwriting and drawing analysis have
primarily targeted domains such as writer identification and sketch recognition. Conversely …
primarily targeted domains such as writer identification and sketch recognition. Conversely …
Document-level text classification using single-layer multisize filters convolutional neural network
The rapid growth of electronic documents are causing problems like unstructured data that
need more time and effort to search a relevant document. Text Document Classification …
need more time and effort to search a relevant document. Text Document Classification …
Detecting salient motion by accumulating directionally-consistent flow
L Wixson - IEEE transactions on pattern analysis and machine …, 2000 - ieeexplore.ieee.org
Motion detection can play an important role in many vision tasks. Yet image motion can arise
from" uninteresting" events as well as interesting ones. In this paper, salient motion is …
from" uninteresting" events as well as interesting ones. In this paper, salient motion is …
Predicting the Big Five personality traits from handwriting
M Gavrilescu, N Vizireanu - EURASIP Journal on Image and Video …, 2018 - Springer
We propose the first non-invasive three-layer architecture in literature based on neural
networks that aims to determine the Big Five personality traits of an individual by analyzing …
networks that aims to determine the Big Five personality traits of an individual by analyzing …
Improving handwriting based gender classification using ensemble classifiers
This paper presents a system to predict gender of individuals from offline handwriting
samples. The technique relies on extracting a set of textural features from handwriting …
samples. The technique relies on extracting a set of textural features from handwriting …
Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs)
Classification of gender from images of handwriting is an interesting research problem in
computerized analysis of handwriting. The correlation between handwriting and gender of …
computerized analysis of handwriting. The correlation between handwriting and gender of …
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 …
Wavelet-based gender detection on off-line handwritten documents using probabilistic finite state automata
Detection of gender from handwriting of an individual presents an interesting research
problem with applications in forensic document examination, writer identification and …
problem with applications in forensic document examination, writer identification and …
Dynamic and static handwriting assessment in Parkinson's disease: a synergistic approach with C-Bi-GRU and VGG19
Parkinson's disease (PD) is a neurodegenerative disorder causing a decline in dopamine
levels, impacting the peripheral nervous system and motor functions. Current detection …
levels, impacting the peripheral nervous system and motor functions. Current detection …