Development of multistage algorithm for text objects recognition in images

D. S. Cherneta, Alexey Alexeevich Druki, V. G. Spitsyn

Division for Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467383837
DOIs	https://doi.org/10.1109/SIBCON.2016.7491714
Publication status	Published - 14 Jun 2016
Event	2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Russian Federation Duration: 12 May 2016 → 14 May 2016

Other

Other	2016 International Siberian Conference on Control and Communications, SIBCON 2016
Country	Russian Federation
City	Moscow
Period	12.5.16 → 14.5.16

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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

Development of multistage algorithm for text objects recognition in images. / Cherneta, D. S.; Druki, Alexey Alexeevich ; Spitsyn, V. G.

2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7491714.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cherneta, DS, Druki, AA & Spitsyn, VG 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., 2016 International Siberian Conference on Control and Communications, SIBCON 2016, Moscow, Russian Federation, 12.5.16. https://doi.org/10.1109/SIBCON.2016.7491714

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Access to Document

10.1109/SIBCON.2016.7491714