Invention Grant
- Patent Title: License plate character segmentation using likelihood maximization
- Patent Title (中): 车牌字符分割使用似然最大化
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Application No.: US13464357Application Date: 2012-05-04
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Publication No.: US09014432B2Publication Date: 2015-04-21
- Inventor: Zhigang Fan , Yonghui Zhao , Aaron Michael Burry , Vladimir Kozitsky
- Applicant: Zhigang Fan , Yonghui Zhao , Aaron Michael Burry , Vladimir Kozitsky
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/32

Abstract:
A method determines a license plate layout configuration. The method includes generating at least one model representing a license plate layout configuration. The generating includes segmenting training images each defining a license plate to extract characters and logos from the training images. The segmenting includes calculating values corresponding to parameters of the license plate and features of the characters and logos. The segmenting includes estimating a likelihood function specified by the features using the values. The likelihood function measures deviations between an observed plate and the model. The method includes storing a layout structure and the distributions for each of the at least one model. The method includes receiving as input an observed image including a plate region. The method includes segmenting the plate region and determining a license plate layout configuration of the observed plate by comparing the segmented plate region to the at least one model.
Public/Granted literature
- US20130294652A1 License plate character segmentation using likelihood maximization Public/Granted day:2013-11-07
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