Results 251 to 260 of about 3,076,819 (327)

Automatic Handwriting Identification on Medieval Documents

open access: yes14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
In this paper, we evaluate the performance of text-independent writer identification methods on a handwriting dataset containing medieval English documents. Applicable identification rates are achieved by combining textural features (joint directional probability distributions) with allographic features (grapheme-emission distributions).
Lambert Schomaker
exaly   +7 more sources

A Smart Pen Based on Triboelectric Effects for Handwriting Pattern Tracking and Biometric Identification

ACS Applied Materials & Interfaces, 2022
The rapid development of artificial intelligence places high demands on human-machine interfaces. Various types of huma-machine interfaces have been implemented, including smart keyboards, electronic skins, and wearable motion sensors.
Qiang He, Zhiping Feng, Yufen Wu
exaly   +2 more sources

Handwriting Analysis for Personality Trait Features Identification using CNN

open access: yes2022 International Conference on Data Science and Its Applications (ICoDSA), 2022
Handwriting analysis is an approach to get information through the handwriting. It extremely useful information, for instance in personality traits identification. The information came from the feature extracted from the handwriting.
Derry Alamsyah   +3 more
semanticscholar   +2 more sources

Handwriting Identification of Short Historical Manuscripts

2018 13th IAPR International Workshop on Document Analysis Systems (DAS), 2018
The study of historical documents is an important and complex branch of document analysis. Ancient manuscripts are often altered by time or environmental conditions and the availability of large data sets is not always guaranteed. In this work, we propose a new solution for the attribution of short historical documents based on both allographic and ...
Piercarlo Dondi   +4 more
openaire   +2 more sources

Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease

open access: yesFuture generations computer systems, 2021
The etiology of Parkinson’s disease (PD) remains unclear. Symptoms usually appear after approximately 70% of dopamine-producing cells have stopped working normally. PD cannot be cured, but its symptoms can be managed to delay its progression.
Iqra Kamran   +3 more
semanticscholar   +2 more sources

Handwriting identification: a direction review

2009 IEEE International Conference on Signal and Image Processing Applications, 2009
Handwriting is a behavioral trait that is personal to individual. The character shape and the style of writing are visually different from one to another. Handwriting identification is a process to identify or verify the authorship of a handwriting document.
Siti Zaiton Mohd Hashim
exaly   +2 more sources

Methodological Aspects of Handwriting Identification

Journal of Forensic Document Examination, 2018
Signature authentication and identification of writing or printing is one of the most common issues presented to forensic document examiners. Handwriting is a complex motor skill expressed individually as a result of learned symbols that are stored in long term memory.
H.J.J. Hardy, W. Fagel
openaire   +2 more sources

Survey on handwriting-based personality trait identification

Expert Systems With Applications, 2019
Personality is a combination of various characteristics and qualities of an individual. It may be affected by the growth and evolution of one’s values, attributes, relationships with the community, personal memories of life events, habits, and skills ...
Kinjal Chaudhari, Ankit Thakkar
exaly   +2 more sources

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