Method for automatic license plate recognition using adaptive feature set
First Claim
1. A method for determining a confidence level to be used in identifying a vehicle comprising:
- receiving, by a processing device, at least one vehicle image;
determining, by the processing device, a license plate number, wherein the license plate number comprises a plurality of characters;
determining, by the processing device, a confidence score for each of the plurality of characters, thereby resulting in a plurality of confidence scores for the vehicle image;
determining, by the processing device, an associated confidence level based upon the at least one vehicle image and the confidence score for each of the plurality of characters;
extracting, by the processing device, auxiliary data from the at least one vehicle image, wherein the auxiliary data comprises information related to physical details of the vehicle;
corresponding, by the processing device, the extracted auxiliary data and a set of stored auxiliary data; and
updating, by the processing device, the associated confidence level by updating the confidence score for each of the plurality of characters to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data,wherein the extracted auxiliary data and the plurality of confidence scores each comprise an associated weight, and wherein the extracted auxiliary data comprises a higher associated weight than the plurality of confidence scores if the vehicle image comprises a high likelihood of being inaccurate due to various conditions during image acquisition.
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Abstract
A method for determining a confidence level to be used in identifying a vehicle. The method includes receiving a vehicle image, extracting a license plate image from the at least one vehicle image, determining a license plate number and associated confidence level based upon the license plate image, and comparing the associated confidence level against a confidence threshold. If the associated confidence level is below the confidence threshold, the method further includes extracting auxiliary data from the at least one vehicle image, corresponding the extracted auxiliary data and a set of stored auxiliary data, and updating the associated confidence level to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data.
76 Citations
19 Claims
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1. A method for determining a confidence level to be used in identifying a vehicle comprising:
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receiving, by a processing device, at least one vehicle image; determining, by the processing device, a license plate number, wherein the license plate number comprises a plurality of characters; determining, by the processing device, a confidence score for each of the plurality of characters, thereby resulting in a plurality of confidence scores for the vehicle image; determining, by the processing device, an associated confidence level based upon the at least one vehicle image and the confidence score for each of the plurality of characters; extracting, by the processing device, auxiliary data from the at least one vehicle image, wherein the auxiliary data comprises information related to physical details of the vehicle; corresponding, by the processing device, the extracted auxiliary data and a set of stored auxiliary data; and updating, by the processing device, the associated confidence level by updating the confidence score for each of the plurality of characters to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data, wherein the extracted auxiliary data and the plurality of confidence scores each comprise an associated weight, and wherein the extracted auxiliary data comprises a higher associated weight than the plurality of confidence scores if the vehicle image comprises a high likelihood of being inaccurate due to various conditions during image acquisition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for determining a confidence level to be used in identifying a vehicle comprising:
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receiving, by a processing device, at least one vehicle image; extracting, by the processing device, a license plate image from the at least one vehicle image; determining, by the processing device, a license plate number, wherein the license plate number comprises a plurality of characters; determining, by the processing device, a confidence score for each of the plurality of characters, thereby resulting in a plurality of confidence scores for the vehicle image; determining, by the processing device, an associated confidence level based upon the license plate image and the confidence score for each of the plurality of characters; extracting, by the processing device, auxiliary data from the at least one vehicle image, wherein the auxiliary data comprises information related to physical details of the vehicle; corresponding, by the processing device, the extracted auxiliary data and a set of stored auxiliary data; updating, by the processing device, the associated confidence level by updating the confidence score for each of the plurality of characters to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data; and comparing, by the processing device, the updated confidence level against a confidence threshold, wherein the extracted auxiliary data and the plurality of confidence scores each comprise an associated weight, and wherein the extracted auxiliary data comprises a higher associated weight than the plurality of confidence scores if the vehicle image comprises a high likelihood of being inaccurate due to various conditions during image acquisition. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A method for determining a confidence level to be used in identifying a vehicle comprising:
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receiving, by a processing device, a vehicle image; extracting, by the processing device, a license plate image from the at least one vehicle image; determining, by the processing device, a license plate number, wherein the license plate number comprises a plurality of characters; determining, by the processing device, a confidence score for each of the plurality of characters, thereby resulting in a plurality of confidence scores for the vehicle image; determining, by the processing device, an associated confidence level based upon the license plate image and the confidence score for each of the plurality of characters; comparing the associated confidence level against a confidence threshold; and if the associated confidence level is below the confidence threshold; extracting, by the processing device, auxiliary data from the at least one vehicle image, wherein the auxiliary data comprises information related to physical details of the vehicle, corresponding, by the processing device, the extracted auxiliary data and a set of stored auxiliary data, and updating, by the processing device, the associated confidence level by updating the confidence score for each of the plurality of characters to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data, wherein the extracted auxiliary data and the plurality of confidence scores each comprise an associated weight, and wherein the extracted auxiliary data comprises a higher associated weight than the plurality of confidence scores if the vehicle image comprises a high likelihood of being inaccurate due to various conditions during image acquisition. - View Dependent Claims (17, 18, 19)
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Specification