Development of multistage algorithm for text objects recognition in images

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

The relevance of this study is stipulated by the necessity of designing algorithms allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Purpose: Development of algorithms and software system allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Experimental research to be carried out into the efficiency of developed algorithms and their comparison to their existing analogs. Findings: Viola-Jones object detection algorithm is suggested to detect the area of character location on images with complex background. The image normalization includes the following operations: boundary identification, Hough transformation, search for closed loops, image leveling. The structure of convolutional neural network (CNN) is suggested for characters recognition. The implementation of the developed algorithms is presented by characters recognition on images of vehicle number plates.

Язык оригиналаАнглийский
Название основной публикации2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781467383837
DOI
СостояниеОпубликовано - 14 июн 2016
Событие2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Российская Федерация
Продолжительность: 12 мая 201614 мая 2016

Другое

Другое2016 International Siberian Conference on Control and Communications, SIBCON 2016
СтранаРоссийская Федерация
ГородMoscow
Период12.5.1614.5.16

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation
  • Computer Networks and Communications

Fingerprint Подробные сведения о темах исследования «Development of multistage algorithm for text objects recognition in images». Вместе они формируют уникальный семантический отпечаток (fingerprint).

  • Цитировать

    Cherneta, D. S., Druki, A. A., & Spitsyn, V. G. (2016). Development of multistage algorithm for text objects recognition in images. В 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings [7491714] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBCON.2016.7491714