Algorithm for optical handwritten characters recognition based on structural components extraction

P. A. Khaustov, V. G. Spitsyn, E. I. Maksimova

Результат исследований: Материалы для книги/типы отчетов › Материалы для конференции

2 Цитирования (Scopus)

Выдержка

The algorithm for character topology composition has been proposed. Metrics for character graphs comparison has been suggested. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database and writing characters examples from the forms of a unified state exam.

Язык оригиналаАнглийский
Название основной публикацииProceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы355-358
Число страниц4
ISBN (электронное издание)9781509008551
DOI
СостояниеОпубликовано - 21 мар 2017
Событие11th International Forum on Strategic Technology, IFOST 2016 - Novosibirsk, Российская Федерация
Продолжительность: 1 июн 2016 → 3 июн 2016

Конференция

Конференция11th International Forum on Strategic Technology, IFOST 2016
СтранаРоссийская Федерация
ГородNovosibirsk
Период1.6.16 → 3.6.16

Отпечаток

Optical character recognition
Character Recognition
Topology
Processing
Handwriting
Chemical analysis
Character
Metric
Graph in graph theory

ASJC Scopus subject areas

  • Ceramics and Composites
  • Computational Mathematics
  • Computer Science Applications
  • Mechanical Engineering
  • Mechanics of Materials
  • Electronic, Optical and Magnetic Materials
  • Control and Optimization

Цитировать

Khaustov, P. A., Spitsyn, V. G., & Maksimova, E. I. (2017). Algorithm for optical handwritten characters recognition based on structural components extraction. В Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016 (стр. 355-358). [7884126] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFOST.2016.7884126

Algorithm for optical handwritten characters recognition based on structural components extraction. / Khaustov, P. A.; Spitsyn, V. G.; Maksimova, E. I.

Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 355-358 7884126.

Результат исследований: Материалы для книги/типы отчетов › Материалы для конференции

Khaustov, PA, Spitsyn, VG & Maksimova, EI 2017, Algorithm for optical handwritten characters recognition based on structural components extraction. в Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016., 7884126, Institute of Electrical and Electronics Engineers Inc., стр. 355-358, 11th International Forum on Strategic Technology, IFOST 2016, Novosibirsk, Российская Федерация, 1.6.16. https://doi.org/10.1109/IFOST.2016.7884126
Khaustov PA, Spitsyn VG, Maksimova EI. Algorithm for optical handwritten characters recognition based on structural components extraction. В Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016. Institute of Electrical and Electronics Engineers Inc. 2017. стр. 355-358. 7884126 https://doi.org/10.1109/IFOST.2016.7884126
Khaustov, P. A. ; Spitsyn, V. G. ; Maksimova, E. I. / Algorithm for optical handwritten characters recognition based on structural components extraction. Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 355-358
@inproceedings{2a9391e4e3dc4740983c8d577d18fe21,
title = "Algorithm for optical handwritten characters recognition based on structural components extraction",
abstract = "The algorithm for character topology composition has been proposed. Metrics for character graphs comparison has been suggested. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database and writing characters examples from the forms of a unified state exam.",
keywords = "handwritten characters, Lee algorithm, OCR, Optical character recognition, skeletonization, structural components",
author = "Khaustov, {P. A.} and Spitsyn, {V. G.} and Maksimova, {E. I.}",
year = "2017",
month = "3",
day = "21",
doi = "10.1109/IFOST.2016.7884126",
language = "English",
pages = "355--358",
booktitle = "Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - Algorithm for optical handwritten characters recognition based on structural components extraction

AU - Khaustov, P. A.

AU - Spitsyn, V. G.

AU - Maksimova, E. I.

PY - 2017/3/21

Y1 - 2017/3/21

N2 - The algorithm for character topology composition has been proposed. Metrics for character graphs comparison has been suggested. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database and writing characters examples from the forms of a unified state exam.

AB - The algorithm for character topology composition has been proposed. Metrics for character graphs comparison has been suggested. The proposed algorithm has been implemented in character processing application and has been approved on MNIST handwriting characters database and writing characters examples from the forms of a unified state exam.

KW - handwritten characters

KW - Lee algorithm

KW - OCR

KW - Optical character recognition

KW - skeletonization

KW - structural components

UR - http://www.scopus.com/inward/record.url?scp=85017309807&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85017309807&partnerID=8YFLogxK

U2 - 10.1109/IFOST.2016.7884126

DO - 10.1109/IFOST.2016.7884126

M3 - Conference contribution

AN - SCOPUS:85017309807

SP - 355

EP - 358

BT - Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Доступ к документам