Detail publikačního výsledku

Handwriting Comenia Script Recognition with Convolutional Neural Network

RAJNOHA, M.; BURGET, R.; DUTTA, M.

Originální název

Handwriting Comenia Script Recognition with Convolutional Neural Network

Anglický název

Handwriting Comenia Script Recognition with Convolutional Neural Network

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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%

Anglický abstrakt

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%

Klíčová slova

CNN; deep learning; handwriting recognition; HWR; OCR

Klíčová slova v angličtině

CNN; deep learning; handwriting recognition; HWR; OCR

Autoři

RAJNOHA, M.; BURGET, R.; DUTTA, M.

Rok RIV

2018

Vydáno

06.07.2017

Místo

Barcelona

ISBN

978-1-5090-3981-4

Kniha

40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)

Strany od

775

Strany do

779

Strany počet

5

URL

https://ieeexplore.ieee.org/document/8076093

BibTex

@inproceedings{BUT137770,
  author="Martin {Rajnoha} and Radim {Burget} and Malay Kishore {Dutta}",
  title="Handwriting Comenia Script Recognition with Convolutional Neural Network",
  booktitle="40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP)",
  year="2017",
  pages="775--779",
  address="Barcelona",
  doi="10.1109/TSP.2017.8076093",
  isbn="978-1-5090-3981-4",
  url="https://ieeexplore.ieee.org/document/8076093"
}