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 | |
| 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
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
}
TY - GEN
T1 - Development of multistage algorithm for text objects recognition in images
AU - Cherneta, D. S.
AU - Druki, Alexey Alexeevich
AU - Spitsyn, V. G.
PY - 2016/6/14
Y1 - 2016/6/14
N2 - 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.
AB - 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.
KW - artificial neural networks
KW - character recognition
KW - Hough transform
KW - Image processing
KW - Viola-Jones algorithm
UR - http://www.scopus.com/inward/record.url?scp=84978060506&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978060506&partnerID=8YFLogxK
U2 - 10.1109/SIBCON.2016.7491714
DO - 10.1109/SIBCON.2016.7491714
M3 - Conference contribution
AN - SCOPUS:84978060506
BT - 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -