License plate character segmentation using likelihood maximization
First Claim
1. A method for determining a license plate layout configuration, the method comprising:
- generating at least one model representing a license plate layout configuration, the generating including;
segmenting training images each defining a license plate to extract characters and logos from the training images,calculating values corresponding to parameters of the license plate and features of the characters and logos, andestimating a likelihood function specified by the features using the values, the likelihood function being adapted to measure deviations between an observed plate and the model;
storing a layout structure and the distributions for each of the at least one model;
receiving as input an observed image including a plate region;
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.
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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.
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Citations
20 Claims
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1. A method for determining a license plate layout configuration, the method comprising:
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generating at least one model representing a license plate layout configuration, the generating including; segmenting training images each defining a license plate to extract characters and logos from the training images, calculating values corresponding to parameters of the license plate and features of the characters and logos, and estimating a likelihood function specified by the features using the values, the likelihood function being adapted to measure deviations between an observed plate and the model; storing a layout structure and the distributions for each of the at least one model; receiving as input an observed image including a plate region; 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for determining a license plate layout configuration, the system comprising:
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a training device including a processor for generating at least one model representing a license plate layout configuration, the training device being adapted to; segment training images of license plates to extract characters and logos from the training images, calculate values corresponding to parameters of the license plate and features of the characters and logos, and, estimate a likelihood function specified by the features using the values, the likelihood function being adapted to measure deviations between an observed plate and the model; a storage device in communication with the training device, the storage device being adapted to store a layout structure and the distributions for each model; a segmentation device in communication with the storage device, wherein upon receipt of an observed image including a plate region, the segmentation device is adapted to; compare the plate region to the at least one model stored in the storage device; and
,based on the comparison, determine a license plate layout configuration of the observed. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A method for segmenting an observed image of a license plate for determining a layout configuration of the license plate, the method including:
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providing at least one model representing a license plate layout configuration; receiving as input an observed image including a plate region; producing binary maps of the plate region by applying at least two binary thresholds; using the binary maps to determine object connected components relative to background connected components; matching the determined black connected components against the at least one model; determining if the matching score for the at least one model is below a pre-set threshold; and
,determining if the at least one model is a closest match to the plate region in the observed image. - View Dependent Claims (19, 20)
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Specification