License plate recognition with hierarchical temporal memory model

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

7 Citations (Scopus)

Abstract

Development of high quality license plate recognition system is a challenging task, not fully solved nowadays. License plate recognition process consists of the following steps: license plate detection, individual characters segmentation and recognition. This paper contains methods, connected with license plate allocation, segmentation and characters recognition. The noise on the plate and its angular inclination are main problems raised during developing such systems. In this article a new method of license plate recognition is presented. The proposed method includes preliminary image filtering, connected component method for segmentation and hierarchical temporal memory model for recognition. Image prefiltering improves the efficiency of subsequent binarization. Generally, license plate segmentation is provided by the histogram method, with different angles of inclination of the registration plate. As a result the rotation of the plate reduces the image quality. The connected component method eliminates rotation from this process, and provides no loss of image quality. Separate symbols can be represented under a small angle after such segmentation, which could complicate their identification. However, the application of the hierarchical temporal memory model for character recognition, previously trained at the sloping characters images, gives positive results. The proposed algorithms can also be used for distorted text segmentation and recognition.

Original languageEnglish
Title of host publication2014 9th International Forum on Strategic Technology, IFOST 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages136-139
Number of pages4
ISBN (Electronic)9781479960620
DOIs
Publication statusPublished - 1 Jan 2014
Event9th International Forum on Strategic Technology, IFOST 2014 - Cox's Bazar, Bangladesh
Duration: 21 Oct 201423 Oct 2014

Other

Other9th International Forum on Strategic Technology, IFOST 2014
CountryBangladesh
CityCox's Bazar
Period21.10.1423.10.14

Fingerprint

Character recognition
Image quality
Data storage equipment

Keywords

  • hierarchical temporal memory
  • license plate detection
  • temporal grouping

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Civil and Structural Engineering
  • Building and Construction
  • Fuel Technology
  • Computer Networks and Communications

Cite this

Bolotova, Y. A., Druki, A. A., & Spitsyn, V. G. (2014). License plate recognition with hierarchical temporal memory model. In 2014 9th International Forum on Strategic Technology, IFOST 2014 (pp. 136-139). [6991089] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IFOST.2014.6991089

License plate recognition with hierarchical temporal memory model. / Bolotova, Yu A.; Druki, Alexey Alexeevich; Spitsyn, V. G.

2014 9th International Forum on Strategic Technology, IFOST 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 136-139 6991089.

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

Bolotova, YA, Druki, AA & Spitsyn, VG 2014, License plate recognition with hierarchical temporal memory model. in 2014 9th International Forum on Strategic Technology, IFOST 2014., 6991089, Institute of Electrical and Electronics Engineers Inc., pp. 136-139, 9th International Forum on Strategic Technology, IFOST 2014, Cox's Bazar, Bangladesh, 21.10.14. https://doi.org/10.1109/IFOST.2014.6991089
Bolotova YA, Druki AA, Spitsyn VG. License plate recognition with hierarchical temporal memory model. In 2014 9th International Forum on Strategic Technology, IFOST 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 136-139. 6991089 https://doi.org/10.1109/IFOST.2014.6991089
Bolotova, Yu A. ; Druki, Alexey Alexeevich ; Spitsyn, V. G. / License plate recognition with hierarchical temporal memory model. 2014 9th International Forum on Strategic Technology, IFOST 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 136-139
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