Offline Handwritten Text Recognition Using Support Vector Machines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU122894" target="_blank" >RIV/00216305:26220/17:PU122894 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8049930" target="_blank" >https://ieeexplore.ieee.org/document/8049930</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SPIN.2017.8049930" target="_blank" >10.1109/SPIN.2017.8049930</a>
Alternative languages
Result language
angličtina
Original language name
Offline Handwritten Text Recognition Using Support Vector Machines
Original language description
Comenia script is a novel handwritten text introduced at primary schools in the Czech Republic. This paper describes a method for handwritten text recognition (HWR) of this font. In particular it proposes a method for preprocessing and normalization of data and optical character recognition based on SVM classifier. We have trained and statistically evaluated several models, where we have focused on recognition of different styles of writing of the same characters - for the forensic purposes and identification of the author of a document. The best model has achieved 92.86 % accuracy without any further postprocessing, e.g. a spellchecker. We also proposed using more than one classification model for character recognition that has shown to increase accuracy when compared to a single model approach.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
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
2017 4th International Conference on Signal Processing and Integrated Networks (SPIN)
ISBN
978-1-5090-2796-5
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
132-136
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Dept. of ECE, ASET, Amity University, Noida Sec-
Event date
Feb 2, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426076800027