Development of multistage algorithm for text objects recognition in images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467383837
DOIs
Publication statusPublished - 14 Jun 2016
Event2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Russian Federation
Duration: 12 May 201614 May 2016

Other

Other2016 International Siberian Conference on Control and Communications, SIBCON 2016
CountryRussian Federation
CityMoscow
Period12.5.1614.5.16

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Keywords

  • artificial neural networks
  • character recognition
  • Hough transform
  • Image processing
  • Viola-Jones algorithm

ASJC Scopus subject areas

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

Cite this

Cherneta, D. S., Druki, A. A., & Spitsyn, V. G. (2016). Development of multistage algorithm for text objects recognition in images. In 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