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Journal Article
Best Combination of Binarization Methods for License Plate Character Segmentation
- Authors
- Youngwoo Yoon, Kyu-Dae Ban, Hosub Yoon, Jaeyeon Lee, Jaehong Kim
- Issue Date
- 2013-06
- Citation
- ETRI Journal, v.35, no.3, pp.491-500
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- A connected component analysis from a binary image is a popular character segmentation method but occasionally fails to segment the characters owing to image noise and uneven illumination. A multimethod binarization scheme that incorporates two or more binary images is a novel solution, but selection of binarization methods has never been analyzed before. This paper reveals the best combination of binarization methods and parameters and presents an in-depth analysis of the multimethod binarization scheme for better character segmentation. We carry out an extensive quantitative evaluation, which shows a significant improvement over conventional single-method binarization methods. Experiment results of six binarization methods and their combinations with different test images are presented. © 2013 ETRI.
- KSP Keywords
- Carry out, Connected component analysis, Experiment results, In-depth analysis, Uneven Illumination, binary image, image noise, license plate character segmentation, quantitative evaluation, segmentation method