Handwriting Comenia Script Recognition with Convolutional Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124067" target="_blank" >RIV/00216305:26220/17:PU124067 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8076093" target="_blank" >https://ieeexplore.ieee.org/document/8076093</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2017.8076093" target="_blank" >10.1109/TSP.2017.8076093</a>
Alternative languages
Result language
angličtina
Original language name
Handwriting Comenia Script Recognition with Convolutional Neural Network
Original language description
This paper deals with handwriting recognition (HWR) using artificial intelligence of so–called Comenia script - a modern handwritten font similar to block letters recently introduced at primary schools in the Czech Republic. This work describes a method how to extend a limited training set of handwritten letters and proposes a new method to increase stability and accuracy by artificially created image samples. We examined a large set of algorithms including a deep learning method for classification of the handwriting characters. The best results were achieved using a convolutional neural network, which achieved the accuracy or character recognition 90.04%
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-5090-3981-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
775-779
Publisher name
Neuveden
Place of publication
Barcelona
Event location
Barcelona
Event date
Jul 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425229000164