License plate identification method and system thereof
AssigneeDelta Electronics, Inc.
InventorsYu-Ta Chen, Feng-Ming Liang, Jing-Hong Jheng
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Abstract
A license plate identification method is provided, including steps of: obtaining a to-be-processed image including all characters on a license plate; extracting several feature maps corresponding to character features of the to-be-processed image through a feature map extraction module; for each of the characters, extracting a block and a coordinate according to the feature maps through a character identification model based on a neural network; and obtaining a license plate identification result according to the respective blocks and the respective coordinates of the characters.
Claims10
A license plate identification method, comprising steps of:
- receiving a raw image;
- extracting a historical background image through a foreground and background subtraction module;
- comparing the raw image with the historical background image to determine an amount of image change;
- and
- determining whether the amount of image change is greater than a predetermined value,
- when the amount of image change is greater than the predetermined value, generating a to-be-processed image comprising all of characters on a license plate;
- extracting a plurality of feature maps comprising character features of the to-be-processed image through a feature map extraction module;
- for each of the characters, extracting a block and a coordinate according to the feature maps through a character identification model based on a neural network;
- and
- obtaining a license plate identification result according to the respective blocks and the respective coordinates of the characters.
A license plate identification system, comprising:
- an image capturing apparatus configured to capture at least one raw image;
- and
- a processor configured to:
- receive the raw image from the image capturing apparatus;
- extract a historical background image through a foreground and background subtraction module;
- compare the raw image with the historical background image to determine the amount of image change;
- determine whether the amount of image change is greater than a predetermined value;
- when the amount of image change is greater than the predetermined value, generate a to-be-processed image comprising all of characters on a license plate according to the raw image;
- obtain a plurality of feature maps comprising character features of the to-be-processed image through a feature map extraction module;
- for each of the characters, extract a block and a coordinate according to the feature maps through a character identification model based on a neural network;
- and
- obtain a license plate identification result according to the respective blocks and the respective coordinates of the characters.
Dependencies are inferred from the claim text.