Blob extraction based character segmentation method for automatic license plate recognition system

Author

Yoon, Youngwoo ; Ban, Kyu-Dae ; Yoon, Hosub ; Kim, Jaehong

Author_Institution

Robot/Cognition Syst. Res. Dept., Electron. & Telecommun. Res. Inst. (ETRI), Daejeon, South Korea

fYear

2011

fDate

9-12 Oct. 2011

Firstpage

2192

Lastpage

2196

Abstract

A character segmentation algorithm for automatic license plate recognition is presented in this paper. Character regions are selected through binarization, connected component analysis, and character recognition. A blob analysis operation excludes noisy blobs, merges fragmented blobs, and splits clumped blobs. A character segmentation module achieved an accuracy rate of 97.2%. The recognition accuracy of the complete system with license plate localization was 90.9%. In depth analysis of failure cases is also provided for better understanding of the algorithm and a future development direction.

Keywords

character recognition; image segmentation; principal component analysis; automatic license plate recognition system; binarization; blob analysis operation; blob extraction; character recognition; character regions; character segmentation algorithm; character segmentation method; character segmentation module; clumped blobs; connected component analysis; fragmented blobs; license plate localization; noisy blobs; recognition accuracy; Accuracy; Character recognition; Image color analysis; Image segmentation; Licenses; Merging; Object segmentation; ANPR; character recognition; character segmentation; license plate;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1062-922X

Print_ISBN

978-1-4577-0652-3

Type

conf

DOI

10.1109/ICSMC.2011.6084002

Filename

6084002