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Blob Extraction based Character Segmentation Method for Automatic License Plate Recognition System
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- Authors
- Youngwoo Yoon, Kyu-Dae Ban, Hosub Yoon, Jaehong Kim
- Issue Date
- 2011-10
- Citation
- International Conference on Systems, Man and Cybernetics (SMC) 2011, pp.2192-2196
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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. © 2011 IEEE.
- KSP Keywords
- Accuracy Rate, Analysis operation, Automatic license plate recognition(ALPR), Blob analysis, Character segmentation, Connected component analysis, Depth analysis, Future development direction, License Plate Recognition(LPR), License Plate Recognition System, character recognition